Triple

T3049141
Position Surface form Disambiguated ID Type / Status
Subject Mir program E83524 entity
Predicate spaceStationDockingModule P14980 FINISHED
Object Shuttle-Mir docking module
The Shuttle-Mir docking module was a specially designed adapter that enabled U.S. Space Shuttles to safely dock with the Russian Mir space station during the Shuttle-Mir program.
E323087 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Shuttle-Mir docking module | Statement: [Mir program, spaceStationDockingModule, Shuttle-Mir docking module]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shuttle-Mir docking module
Context triple: [Mir program, spaceStationDockingModule, Shuttle-Mir docking module]
  • A. Apollo–Soyuz Docking Module
    The Apollo–Soyuz Docking Module was a specially designed adapter spacecraft that enabled the American Apollo and Soviet Soyuz vehicles to physically connect and support joint operations during the first international crewed space mission.
  • B. European Service Module
    The European Service Module is the European-built component of NASA’s Orion spacecraft that provides propulsion, power, thermal control, and life-support resources for crewed lunar missions.
  • C. Raffaello Multi-Purpose Logistics Module
    The Raffaello Multi-Purpose Logistics Module is an Italian-built pressurized cargo module used by NASA to transport supplies, equipment, and experiments between Earth and the International Space Station aboard Space Shuttle missions.
  • D. Mengtian laboratory module
    The Mengtian laboratory module is a Chinese space station component dedicated to scientific research and experiments as part of the Tiangong orbital complex.
  • E. International Docking Adapter on ISS
    The International Docking Adapter on the ISS is a standardized docking port that enables modern crewed and cargo spacecraft, such as Boeing’s Starliner, to autonomously and safely dock with the space station.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shuttle-Mir docking module
Triple: [Mir program, spaceStationDockingModule, Shuttle-Mir docking module]
Generated description
The Shuttle-Mir docking module was a specially designed adapter that enabled U.S. Space Shuttles to safely dock with the Russian Mir space station during the Shuttle-Mir program.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shuttle-Mir docking module
Target entity description: The Shuttle-Mir docking module was a specially designed adapter that enabled U.S. Space Shuttles to safely dock with the Russian Mir space station during the Shuttle-Mir program.
  • A. Apollo–Soyuz Docking Module
    The Apollo–Soyuz Docking Module was a specially designed adapter spacecraft that enabled the American Apollo and Soviet Soyuz vehicles to physically connect and support joint operations during the first international crewed space mission.
  • B. European Service Module
    The European Service Module is the European-built component of NASA’s Orion spacecraft that provides propulsion, power, thermal control, and life-support resources for crewed lunar missions.
  • C. Raffaello Multi-Purpose Logistics Module
    The Raffaello Multi-Purpose Logistics Module is an Italian-built pressurized cargo module used by NASA to transport supplies, equipment, and experiments between Earth and the International Space Station aboard Space Shuttle missions.
  • D. Mengtian laboratory module
    The Mengtian laboratory module is a Chinese space station component dedicated to scientific research and experiments as part of the Tiangong orbital complex.
  • E. International Docking Adapter on ISS
    The International Docking Adapter on the ISS is a standardized docking port that enables modern crewed and cargo spacecraft, such as Boeing’s Starliner, to autonomously and safely dock with the space station.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spaceStationDockingModule
Context triple: [Mir program, spaceStationDockingModule, Shuttle-Mir docking module]
  • A. servicedSpacecraft
    Indicates that one entity has performed maintenance or support operations on a spacecraft.
  • B. spaceCenter
    Indicates that one entity serves as a primary facility or hub for space-related operations, missions, or administration for another entity.
  • C. attachedToSpaceStation
    Indicates that an object is physically connected or secured to a space station.
  • D. hostSpacecraft
    Indicates that one entity serves as the platform or carrier on which another spacecraft is mounted, accommodated, or operated.
  • E. dockingSystem chosen
    Indicates a relationship where one structure or vehicle is equipped with or connected to a system that enables secure docking with another compatible structure or vehicle.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9bb00a348190877c9cbf0f13cba4 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eef7d1e081908535b7d972a147eb completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1f0ad56dc81909c96018e34345fda completed March 11, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69b1f13a34c88190aa829d8d87a5d29b completed March 11, 2026, 10:48 p.m.
PD Predicate disambiguation batch_69ad962195388190856013a2519c2b0f completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3:01 p.m.