Triple

T2937704
Position Surface form Disambiguated ID Type / Status
Subject Gloster Meteor E79306 entity
Predicate variant P4680 FINISHED
Object Meteor T.7
The Meteor T.7 is a two-seat trainer version of the British Gloster Meteor jet fighter, used primarily for pilot instruction and conversion training.
E312091 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: Meteor T.7 | Statement: [Gloster Meteor, variant, Meteor T.7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meteor T.7
Context triple: [Gloster Meteor, variant, Meteor T.7]
  • A. Titan IIIE
    Titan IIIE was a U.S. expendable launch vehicle variant of the Titan III family, equipped with a Centaur upper stage and used in the 1970s to send deep-space probes such as Voyager 1 on interplanetary trajectories.
  • B. M-77
    M-77 is a state highway in Michigan, United States, running north–south through the eastern Upper Peninsula.
  • C. Turbostar
    Turbostar is a family of modern British diesel multiple-unit trains widely used for regional and commuter services across the UK rail network.
  • D. Thar
    Thar is a city located in Saudi Arabia’s Najran Region, near the country’s southern border.
  • E. Hawk T-series
    The Hawk T-series is a family of British single-engine jet-powered advanced trainer and light attack aircraft widely used for pilot training and aerobatic display teams.
  • 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: Meteor T.7
Triple: [Gloster Meteor, variant, Meteor T.7]
Generated description
The Meteor T.7 is a two-seat trainer version of the British Gloster Meteor jet fighter, used primarily for pilot instruction and conversion training.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meteor T.7
Target entity description: The Meteor T.7 is a two-seat trainer version of the British Gloster Meteor jet fighter, used primarily for pilot instruction and conversion training.
  • A. Titan IIIE
    Titan IIIE was a U.S. expendable launch vehicle variant of the Titan III family, equipped with a Centaur upper stage and used in the 1970s to send deep-space probes such as Voyager 1 on interplanetary trajectories.
  • B. M-77
    M-77 is a state highway in Michigan, United States, running north–south through the eastern Upper Peninsula.
  • C. Turbostar
    Turbostar is a family of modern British diesel multiple-unit trains widely used for regional and commuter services across the UK rail network.
  • D. Thar
    Thar is a city located in Saudi Arabia’s Najran Region, near the country’s southern border.
  • E. Hawk T-series
    The Hawk T-series is a family of British single-engine jet-powered advanced trainer and light attack aircraft widely used for pilot training and aerobatic display teams.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad983f91c48190b409d8f522cab08b completed March 8, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b086837ddc8190af27c7facd629691 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0d15ec81c81909c22e265dd0263df completed March 11, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b0d524994c8190b8b6ff05eee8696a completed March 11, 2026, 2:36 a.m.
Created at: March 8, 2026, 2:56 p.m.