Triple

T14783141
Position Surface form Disambiguated ID Type / Status
Subject Marine Aircraft Group 36 E347441 entity
Predicate nickname P55 FINISHED
Object MAG-36 E1119722 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: MAG-36 | Statement: [Marine Aircraft Group 36, nickname, MAG-36]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAG-36
Context triple: [Marine Aircraft Group 36, nickname, MAG-36]
  • A. MAG-36 chosen
    MAG-36 is a United States Marine Corps aviation unit that provides assault support and related air combat capabilities.
  • B. MAG-39
    MAG-39 is a United States Marine Corps aviation unit that provides helicopter and tiltrotor support for Marine Air-Ground Task Force operations.
  • C. MAG-31
    MAG-31 is a United States Marine Corps aviation unit known as Marine Aircraft Group 31, which provides combat-ready fixed-wing aviation support.
  • D. MAG-26
    MAG-26 is a United States Marine Corps aviation unit that provides assault support and helicopter operations as part of the 2nd Marine Aircraft Wing.
  • E. MAG-24
    MAG-24 is a United States Marine Corps aviation unit known as Marine Aircraft Group 24, which provides air support and aviation combat capabilities.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9de3f48190b7706925e2947cf5 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b626c48190a6aa9eda43539246 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.