Triple

T164501
Position Surface form Disambiguated ID Type / Status
Subject Concourse A E2981 entity
Predicate hasName P744 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: [Concourse A, hasName, Concourse A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concourse A
Context triple: [Concourse A, hasName, 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 E
    Concourse E is an international airport terminal area that serves as a primary hub for handling overseas flights and related passenger services.
  • C. Concourse B
    Concourse B is a passenger terminal concourse at Washington Dulles International Airport that serves numerous domestic and international airline gates and amenities.
  • D. Concourse D
    Concourse D is one of the passenger terminal concourses at Washington Dulles International Airport, serving as a hub for boarding gates, airline operations, and traveler amenities.
  • E. Concourse Z
    Concourse Z is a passenger terminal concourse at Washington Dulles International Airport serving airline gates and related airport facilities.
  • 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_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_69a2d73560588190b7cb099b70b4e60d completed Feb. 28, 2026, 11:53 a.m.
Created at: Feb. 28, 2026, 2:34 a.m.