Triple

T6372781
Position Surface form Disambiguated ID Type / Status
Subject Republic of Singapore Air Force E143390 entity
Predicate aircraftTrainer P34146 FINISHED
Object M-346 Master E28606 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: M-346 Master | Statement: [Republic of Singapore Air Force, aircraftTrainer, M-346 Master]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M-346 Master
Context triple: [Republic of Singapore Air Force, aircraftTrainer, M-346 Master]
  • A. M-346 Master chosen
    The M-346 Master is an advanced jet trainer and light attack aircraft designed primarily for training fighter pilots for modern high-performance combat aircraft.
  • B. M-45
    M-45 is a state highway in Michigan that runs east–west through the Grand Rapids area toward the Lake Michigan shoreline.
  • C. M-45
    M-45 is a major ring road in the Madrid metropolitan area that helps divert traffic around the city and connect several eastern suburbs.
  • D. M-40
    M-40 is a state trunkline highway in Michigan that runs north–south through several counties, including Allegan County.
  • E. M-52
    M-52 is a state highway in Michigan that runs north–south through several counties, serving as an important regional route for local and through traffic.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06829d76c819092b476631459233a completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d9203988190a535b4f06f478292 completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:33 p.m.