Triple

T23394155
Position Surface form Disambiguated ID Type / Status
Subject Esterline Technologies E594102 entity
Predicate hasDivision P35 FINISHED
Object Avionics Systems NE NERFINISHED

How this triple was built (3 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: Avionics Systems | Statement: [Esterline Technologies, hasDivision, Avionics Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avionics Systems
Context triple: [Esterline Technologies, hasDivision, Avionics Systems]
  • A. Aviation Systems
    Aviation Systems is a division of L3Harris Technologies that focuses on advanced aerospace technologies, products, and services for civil and military aviation.
  • B. Aeronautics Systems
    Aeronautics Systems is a Northrop Grumman business segment focused on designing, developing, and producing advanced manned and unmanned aircraft and related aerospace technologies.
  • C. Avitronics
    Avitronics is a defense electronics company specializing in advanced avionics and electronic warfare systems for military aircraft.
  • D. Aerospace Systems
    Aerospace Systems is a Mitsubishi Heavy Industries division that develops and manufactures aircraft, space systems, and related aerospace technologies.
  • E. Aerospace Systems
    Aerospace Systems was a business segment of Exelis Inc. focused on developing advanced aerospace technologies and solutions for defense, intelligence, and commercial applications.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Avionics Systems
Target entity description: Avionics Systems is a division of Esterline Technologies that specializes in advanced electronic systems for aircraft control, communication, navigation, and cockpit display.
  • A. Aviation Systems
    Aviation Systems is a division of L3Harris Technologies that focuses on advanced aerospace technologies, products, and services for civil and military aviation.
  • B. Aeronautics Systems
    Aeronautics Systems is a Northrop Grumman business segment focused on designing, developing, and producing advanced manned and unmanned aircraft and related aerospace technologies.
  • C. Avitronics
    Avitronics is a defense electronics company specializing in advanced avionics and electronic warfare systems for military aircraft.
  • D. Aerospace Systems
    Aerospace Systems is a Mitsubishi Heavy Industries division that develops and manufactures aircraft, space systems, and related aerospace technologies.
  • E. Aerospace Systems
    Aerospace Systems was a business segment of Exelis Inc. focused on developing advanced aerospace technologies and solutions for defense, intelligence, and commercial applications.
  • F. None of above. chosen

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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49eb3b881909da7f1c47c67c81f completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:36 p.m.