Triple

T7617964
Position Surface form Disambiguated ID Type / Status
Subject McNamara Terminal E172409 entity
Predicate IATAAirportCodeOfParent P2569 FINISHED
Object DTW E172408 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: DTW | Statement: [McNamara Terminal, IATAAirportCodeOfParent, DTW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DTW
Context triple: [McNamara Terminal, IATAAirportCodeOfParent, DTW]
  • A. DTW chosen
    DTW is the IATA airport code for Detroit Metropolitan Wayne County Airport, a major international hub serving the Detroit, Michigan metropolitan area.
  • B. DTL
    DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
  • C. DT
    DT is the widely used nickname for Diana Taurasi, a legendary American professional basketball player regarded as one of the greatest in WNBA history.
  • D. DTS
    DTS is the U.S. Department of Defense’s integrated global transportation network that moves military personnel, equipment, and supplies worldwide.
  • E. DTS
    DTS is a multichannel digital surround sound audio format widely used in home theater systems, cinema, and high-definition media.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa4886ac819084188f54d280df35 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89aa7b264819096ddeda8e4c5ddb4 completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:55 p.m.