Triple

T7019379
Position Surface form Disambiguated ID Type / Status
Subject Precision Air E162779 entity
Predicate callsign P1565 FINISHED
Object PRECISION AIR E162779 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: PRECISION AIR | Statement: [Precision Air, callsign, PRECISION AIR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PRECISION AIR
Context triple: [Precision Air, callsign, PRECISION AIR]
  • A. Precision Air chosen
    Precision Air is a Tanzanian airline that operates regional and domestic flights within East Africa.
  • B. J-Air
    J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
  • C. Dan Precision
    Dan Precision is an American punk rock guitarist and producer best known for co-founding the band 88 Fingers Louie and for his early involvement with the band that became Rise Against.
  • D. Aire Mouth
    Aire Mouth is the point where the River Aire in Yorkshire, England, flows into the River Ouse, marking the downstream terminus of the Aire and Calder Navigation.
  • E. Efficeon
    Efficeon is a family of low-power, x86-compatible microprocessors developed by Transmeta as the successor to its Crusoe line, aimed primarily at mobile and embedded computing devices.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1e8e36c81908c95a8181781cda4 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775707e30819088b311a1a87eee79 completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:34 p.m.