Triple

T164443
Position Surface form Disambiguated ID Type / Status
Subject KIAD E2980 entity
Predicate associatedFAAcode P420 FINISHED
Object IAD E20193 NE FINISHED

How this triple was built (3 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: [KIAD, associatedFAAcode, IAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IAD
Context triple: [KIAD, associatedFAAcode, 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. Terminal 3
    Terminal 3 is one of the passenger terminals at Paris Charles de Gaulle Airport, primarily serving low-cost and charter airlines.
  • C. Terminal 3
    Terminal 3 is one of the passenger terminals at Manchester Airport, serving a range of domestic and international flights with dedicated check-in, security, and boarding facilities.
  • D. Terminal 3
    Terminal 3 is one of the passenger terminals at Los Angeles International Airport, serving as a hub for several domestic and international airline operations.
  • E. Terminal 5
    Terminal 5 is a major passenger terminal at John F. Kennedy International Airport in New York City, known for serving as the primary hub for JetBlue Airways.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedFAAcode
Context triple: [KIAD, associatedFAAcode, IAD]
  • A. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • B. FAAcode chosen
    Indicates that an entity (such as an airport or facility) is associated with a specific identifying code assigned by the Federal Aviation Administration (FAA).
  • C. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • D. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • E. nationalAirline
    Indicates that an airline serves as the official or primary flag carrier of a particular country.
  • F. None of above.

Provenance (4 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258827da481909b20ea5e9d21676f completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2db55b2808190bb120e6f266bd26b completed Feb. 28, 2026, 12:11 p.m.
PD Predicate disambiguation batch_69a2566392208190a538ea9aa1fac53e completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:34 a.m.