Triple

T1639135
Position Surface form Disambiguated ID Type / Status
Subject STS-88 E35426 entity
Predicate deliveredModule P1386 FINISHED
Object Zarya
Zarya is the first module of the International Space Station, providing initial power, propulsion, and guidance functions for the orbiting laboratory.
 E183891 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: Zarya | Statement: [STS-88, deliveredModule, Zarya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zarya
Context triple: [STS-88, deliveredModule, Zarya]
  • A. Beryl Commando
    Beryl Commando is a compact carbine variant of the Polish Beryl assault rifle designed for close-quarters combat and specialized military use.
  • B. Sonya
    Sonya is a gentle, selfless young woman in Leo Tolstoy’s novel "War and Peace," known for her unrequited love and quiet loyalty to the Rostov family.
  • C. Ashe Marson
    Ashe Marson is a fictional young man-about-town and amateur sleuth created by P. G. Wodehouse, best known as one of the central characters in the comic novel "Something Fresh."
  • D. Storm Shadow
    Storm Shadow is a long-range, air-launched cruise missile designed for precision strikes against high-value, hardened targets.
  • E. Yuri
    Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
  • 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: Zarya
Triple: [STS-88, deliveredModule, Zarya]
Generated description
Zarya is the first module of the International Space Station, providing initial power, propulsion, and guidance functions for the orbiting laboratory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zarya
Target entity description: Zarya is the first module of the International Space Station, providing initial power, propulsion, and guidance functions for the orbiting laboratory.
  • A. Beryl Commando
    Beryl Commando is a compact carbine variant of the Polish Beryl assault rifle designed for close-quarters combat and specialized military use.
  • B. Sonya
    Sonya is a gentle, selfless young woman in Leo Tolstoy’s novel "War and Peace," known for her unrequited love and quiet loyalty to the Rostov family.
  • C. Ashe Marson
    Ashe Marson is a fictional young man-about-town and amateur sleuth created by P. G. Wodehouse, best known as one of the central characters in the comic novel "Something Fresh."
  • D. Storm Shadow
    Storm Shadow is a long-range, air-launched cruise missile designed for precision strikes against high-value, hardened targets.
  • E. Yuri
    Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61e142ac8190aa2fbd8f0826b5b2 completed March 6, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58df433c81908d93515864c4bf09 completed March 8, 2026, 11:09 a.m.
NEDg Description generation batch_69ad594334448190a3e8601541be00dd completed March 8, 2026, 11:10 a.m.
NED2 Entity disambiguation (via description) batch_69ad5a4ccf5481908e8e68c74be9c19e completed March 8, 2026, 11:15 a.m.
Created at: March 4, 2026, 7:28 p.m.