Triple

T7617947
Position Surface form Disambiguated ID Type / Status
Subject McNamara Terminal E172409 entity
Predicate hasConcourse P1656 FINISHED
Object Concourse A E2981 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: [McNamara Terminal, hasConcourse, Concourse A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concourse A
Context triple: [McNamara Terminal, hasConcourse, Concourse A]
  • A. Concourse A chosen
    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
    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_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_69c8a212d0888190a40cdf32ef53d993 completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:55 p.m.