Triple

T17593035
Position Surface form Disambiguated ID Type / Status
Subject Textron E428491 entity
Predicate hasDivision P35 FINISHED
Object Textron Systems NE NERFINISHED

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: Textron Systems | Statement: [Textron, hasDivision, Textron Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Textron Systems
Context triple: [Textron, hasDivision, Textron Systems]
  • A. Textron Systems chosen
    Textron Systems is a U.S.-based defense and aerospace technology company that develops and manufactures advanced military systems, unmanned platforms, and related solutions.
  • B. Textron Aviation
    Textron Aviation is a major American aircraft manufacturer known for producing Cessna and Beechcraft airplanes for business, general aviation, and special mission use.
  • C. Textron
    Textron is a diversified American industrial conglomerate best known for its aerospace, defense, and industrial products, including brands like Bell, Cessna, and Beechcraft.
  • D. Bell Textron
    Bell Textron is a major American aerospace manufacturer best known for designing and producing helicopters and tiltrotor aircraft for both military and commercial use.
  • E. Esterline Technologies
    Esterline Technologies is a major aerospace and defense manufacturing company known for producing advanced avionics, sensors, and specialized systems for commercial and military aircraft.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e89acc81908e52138ad4f452c6 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.