Triple

T328210
Position Surface form Disambiguated ID Type / Status
Subject Concourse C E6566 entity
Predicate hasIATAAirportCode P2569 FINISHED
Object IAD E20193 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: IAD | Statement: [Concourse C, hasIATAAirportCode, IAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IAD
Context triple: [Concourse C, hasIATAAirportCode, IAD]
  • A. IAD chosen
    IAD is the IATA airport code for Washington Dulles International Airport, a major hub serving the Washington, D.C. metropolitan area.
  • B. Friendship International Airport
    Friendship International Airport was the original name of the major airport now known as Baltimore/Washington International Thurgood Marshall Airport, serving the Baltimore–Washington metropolitan area.
  • C. Massport
    Massport is the Massachusetts Port Authority, a public agency that owns and operates key transportation facilities in the Boston area, including Logan International Airport and the Port of Boston.
  • D. DuPage Airport
    DuPage Airport is a public general aviation airport serving the western suburbs of Chicago, known for its extensive corporate and private aviation facilities.
  • E. Terminal 3
    Terminal 3 is the main international passenger terminal at José Martí International Airport in Havana, Cuba, handling most long-haul and major airline operations.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea98fa2c8190a5b44f4a26543a17 completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cfef5f4c8190a9c0e14a5a501237 completed March 1, 2026, 5:34 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.