Triple

T21089263
Position Surface form Disambiguated ID Type / Status
Subject F124 E519588 entity
Predicate alsoKnownAs P39 FINISHED
Object Honeywell F124 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: Honeywell F124 | Statement: [F124, alsoKnownAs, Honeywell F124]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honeywell F124
Context triple: [F124, alsoKnownAs, Honeywell F124]
  • A. Honeywell F124 chosen
    The Honeywell F124 is a modern, low-bypass turbofan engine used to power advanced military trainer and light attack aircraft as well as unmanned combat air vehicles.
  • B. Honeywell 316
    The Honeywell 316 is a 16-bit minicomputer introduced in the late 1960s, used widely for real-time control, industrial, and embedded applications.
  • C. Honeywell 200 series
    The Honeywell 200 series was a family of early mainframe computers produced by Honeywell in the 1960s, known for competing with IBM systems and supporting business and scientific computing workloads.
  • D. Honeywell LF 507
    The Honeywell LF 507 is a small, high-bypass turbofan engine designed primarily for regional jet and short-haul commercial aircraft.
  • E. Honeywell AS977
    The Honeywell AS977 is a regional jet turbofan engine developed by Honeywell Aerospace for improved efficiency and reduced emissions compared to earlier powerplants in its class.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094dd65481909391ed74115afc23 completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:50 p.m.