Triple

T3802158
Position Surface form Disambiguated ID Type / Status
Subject Honda Aircraft Company E91712 entity
Predicate brand P1500 FINISHED
Object HondaJet E388723 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: HondaJet | Statement: [Honda Aircraft Company, brand, HondaJet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HondaJet
Context triple: [Honda Aircraft Company, brand, HondaJet]
  • A. HondaJet chosen
    The HondaJet is a light business jet known for its over-the-wing engine mount design, fuel efficiency, and advanced composite construction, developed by Honda Aircraft Company.
  • B. Autavia
    Autavia is a line of high-performance sports chronographs and watches by TAG Heuer, originally designed for automotive and aviation use.
  • C. Learjet 45
    The Learjet 45 is a mid-size business jet known for its speed, range, and efficient corporate travel capabilities within the Learjet family.
  • D. Falcon 900
    The Falcon 900 is a long-range, tri-jet business aircraft known for its spacious cabin, advanced avionics, and strong performance on intercontinental routes.
  • E. Tecnam
    Tecnam is an Italian aircraft manufacturer known for producing light sport and general aviation airplanes used worldwide for training, touring, and research.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7b998c08190b252178cd7436951 completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5121c38988190976d27f35acfb73f completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:15 p.m.