Triple

T5404398
Position Surface form Disambiguated ID Type / Status
Subject CLT E120855 entity
Predicate hasConcourse P1656 FINISHED
Object Concourse A E127545 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: Concourse A | Statement: [CLT, hasConcourse, Concourse A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concourse A
Context triple: [CLT, hasConcourse, Concourse A]
  • A. Concourse A
    Concourse A is one of the passenger terminal concourses at Washington Dulles International Airport, serving a variety of domestic and international flights.
  • B. Concourse A
    Concourse A is a major passenger terminal facility at Dubai International Airport, primarily serving long-haul international flights and Emirates’ Airbus A380 operations.
  • C. Concourse A chosen
    Concourse A is one of the passenger terminal concourses at Charlotte Douglas International Airport, serving multiple airline gates and flight operations.
  • D. Concourse A
    Concourse A is one of the main passenger terminal concourses at Hartsfield–Jackson Atlanta International Airport, serving numerous domestic airline gates and amenities.
  • E. Concourse A
    Concourse A is one of the main passenger terminal concourses at Seattle–Tacoma International Airport, serving multiple airline gates and amenities for departing and arriving travelers.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8774cd8881909b3437ba02018444 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf339037b4819084423826b7252002 completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:05 p.m.