Triple

T11279952
Position Surface form Disambiguated ID Type / Status
Subject Marine Aircraft Group 26 E267036 entity
Predicate nickname P55 FINISHED
Object MAG-26 E915227 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-26 | Statement: [Marine Aircraft Group 26, nickname, MAG-26]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAG-26
Context triple: [Marine Aircraft Group 26, nickname, MAG-26]
  • A. MAG-26 chosen
    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.
  • B. MAG-16
    MAG-16 is a United States Marine Corps aviation unit known as Marine Aircraft Group 16, which provides assault support and other air operations.
  • C. MAG-11
    MAG-11 is a United States Marine Corps aviation unit known as Marine Aircraft Group 11, which provides combat-ready aircraft and aviation support.
  • D. 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.
  • E. MAG-14
    MAG-14 is a United States Marine Corps aviation unit known as Marine Aircraft Group 14, which provides fixed-wing and support aircraft for Marine air-ground task force operations.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e969b3448190940e2bd499d2d7de completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a0edcd081908547745d16d643ab completed April 19, 2026, 4:59 p.m.
Created at: April 8, 2026, 9:31 p.m.