Triple

T11956115
Position Surface form Disambiguated ID Type / Status
Subject Garrett TFE731-2 E284557 entity
Predicate application P98 FINISHED
Object Learjet 36 E59179 NE FINISHED

How this triple was built (2 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: Learjet 36 | Statement: [Garrett TFE731-2, application, Learjet 36]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Learjet 36
Context triple: [Garrett TFE731-2, application, Learjet 36]
  • A. Learjet 35 chosen
    The Learjet 35 is a twin-engine American business jet known for its high speed, long range, and widespread use in both civilian and military roles, including transport, training, and medical evacuation.
  • B. Learjet 31
    The Learjet 31 is a light business jet known for its high speed, long-range performance, and efficient corporate travel capabilities.
  • C. Learjet 60
    The Learjet 60 is a mid-size business jet known for its high cruising speed, strong climb performance, and transcontinental range, widely used for corporate and private air travel.
  • D. Learjet 29
    The Learjet 29 is a variant of the early Learjet business jets, designed as a small, high-speed corporate aircraft known for its performance and efficiency.
  • E. Learjet 25
    The Learjet 25 is a twin-engine business jet introduced in the late 1960s, known for its high speed, long-range performance, and popularity in corporate and charter aviation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48a83c2448190bb40c199afef2ec2 completed May 1, 2026, 11:12 a.m.
Created at: April 8, 2026, 9:45 p.m.