Triple

T5906826
Position Surface form Disambiguated ID Type / Status
Subject STS-34 E131359 entity
Predicate followedBy P78 FINISHED
Object STS-33
STS-33 was a 1989 NASA Space Shuttle Discovery mission primarily dedicated to deploying a classified U.S. Department of Defense payload.
 E560460 NE FINISHED

How this triple was built (4 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: STS-33 | Statement: [STS-34, followedBy, STS-33]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: STS-33
Context triple: [STS-34, followedBy, STS-33]
  • A. STS-31
    STS-31 was a 1990 NASA Space Shuttle Discovery mission best known for deploying the Hubble Space Telescope into low Earth orbit.
  • B. STS-37
    STS-37 was a 1991 NASA Space Shuttle mission that deployed the Compton Gamma Ray Observatory and conducted various scientific experiments in low Earth orbit.
  • C. STS-30
    STS-30 was a 1989 NASA Space Shuttle Atlantis mission notable for deploying the Magellan spacecraft to Venus.
  • D. STS-43
    STS-43 was a 1991 NASA Space Shuttle Atlantis mission that deployed the Tracking and Data Relay Satellite-E (TDRS-E) and conducted a variety of scientific and technological experiments in low Earth orbit.
  • E. STS-103
    STS-103 was a NASA Space Shuttle Discovery mission in 1999 dedicated to repairing and upgrading the Hubble Space Telescope to extend its operational life and scientific capabilities.
  • 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: STS-33
Triple: [STS-34, followedBy, STS-33]
Generated description
STS-33 was a 1989 NASA Space Shuttle Discovery mission primarily dedicated to deploying a classified U.S. Department of Defense payload.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: STS-33
Target entity description: STS-33 was a 1989 NASA Space Shuttle Discovery mission primarily dedicated to deploying a classified U.S. Department of Defense payload.
  • A. STS-31
    STS-31 was a 1990 NASA Space Shuttle Discovery mission best known for deploying the Hubble Space Telescope into low Earth orbit.
  • B. STS-37
    STS-37 was a 1991 NASA Space Shuttle mission that deployed the Compton Gamma Ray Observatory and conducted various scientific experiments in low Earth orbit.
  • C. STS-30
    STS-30 was a 1989 NASA Space Shuttle Atlantis mission notable for deploying the Magellan spacecraft to Venus.
  • D. STS-43
    STS-43 was a 1991 NASA Space Shuttle Atlantis mission that deployed the Tracking and Data Relay Satellite-E (TDRS-E) and conducted a variety of scientific and technological experiments in low Earth orbit.
  • E. STS-103
    STS-103 was a NASA Space Shuttle Discovery mission in 1999 dedicated to repairing and upgrading the Hubble Space Telescope to extend its operational life and scientific capabilities.
  • F. None of above. chosen

Provenance (5 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03772d9dc8190899fe49ef887e685 completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1080a949c8190a9902f6da45e27a8 completed March 23, 2026, 9:29 a.m.
NEDg Description generation batch_69c1094d6d408190abde0d2e582c15a5 completed March 23, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_69c109c333208190b90911e0cab58377 completed March 23, 2026, 9:37 a.m.
Created at: March 22, 2026, 3:59 p.m.