Triple

T12175721
Position Surface form Disambiguated ID Type / Status
Subject Trumpler 14 E290080 entity
Predicate contains P35 FINISHED
Object Tr14-3
Tr14-3 is a massive, luminous young star located within the Trumpler 14 star cluster in the Carina Nebula.
E963086 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: Tr14-3 | Statement: [Trumpler 14, contains, Tr14-3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tr14-3
Context triple: [Trumpler 14, contains, Tr14-3]
  • A. TR-1A
    The TR-1A is a high-altitude tactical reconnaissance aircraft developed from the Lockheed U-2, optimized for battlefield surveillance and intelligence-gathering missions.
  • B. R143
    The R143 is a class of New York City Subway automated-compatible stainless-steel subway cars built by Kawasaki for use primarily on the L train.
  • C. T134
    T134 is the ICAO aircraft type designator assigned to the Soviet-era twin-engine jet airliner Tupolev Tu-134.
  • D. Tretes
    Tretes is a cool highland resort town in East Java, Indonesia, known for its mountain scenery, villas, and as a gateway to nearby peaks like Mount Arjuno.
  • E. TR-42
    TR-42 is the ISO 3166-2 regional code assigned to Turkey’s Konya Province.
  • 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: Tr14-3
Triple: [Trumpler 14, contains, Tr14-3]
Generated description
Tr14-3 is a massive, luminous young star located within the Trumpler 14 star cluster in the Carina Nebula.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tr14-3
Target entity description: Tr14-3 is a massive, luminous young star located within the Trumpler 14 star cluster in the Carina Nebula.
  • A. TR-1A
    The TR-1A is a high-altitude tactical reconnaissance aircraft developed from the Lockheed U-2, optimized for battlefield surveillance and intelligence-gathering missions.
  • B. R143
    The R143 is a class of New York City Subway automated-compatible stainless-steel subway cars built by Kawasaki for use primarily on the L train.
  • C. T134
    T134 is the ICAO aircraft type designator assigned to the Soviet-era twin-engine jet airliner Tupolev Tu-134.
  • D. Tretes
    Tretes is a cool highland resort town in East Java, Indonesia, known for its mountain scenery, villas, and as a gateway to nearby peaks like Mount Arjuno.
  • E. TR-42
    TR-42 is the ISO 3166-2 regional code assigned to Turkey’s Konya Province.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dc71788190bdaadf7be9d8d6ce completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a9482481909500c216f23fceb4 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fdebe3fc81909a5bb23a943c3c43 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5fef775508190ab3be470821c5a50 completed May 2, 2026, 1:41 p.m.
Created at: April 8, 2026, 9:50 p.m.