Triple

T7442129
Position Surface form Disambiguated ID Type / Status
Subject Concourse C E171779 entity
Predicate connectedTo P37 FINISHED
Object Concourse D unclear NED1 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 D | Statement: [Concourse C, connectedTo, Concourse D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concourse D
Context triple: [Concourse C, connectedTo, Concourse D]
  • A. 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.
  • B. Concourse D
    Concourse D is one of the passenger terminal concourses at Charlotte Douglas International Airport, serving domestic flights and airline operations.
  • C. Concourse D
    Concourse D is one of the passenger terminal concourses at Hartsfield–Jackson Atlanta International Airport, serving numerous domestic flights and airline gates.
  • D. Concourse D
    Concourse D is a passenger terminal area at Harry Reid International Airport in Las Vegas that serves multiple airline gates and flight operations.
  • E. Concourse D
    Concourse D is one of the passenger terminal concourses at Pittsburgh International Airport, serving various 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. chosen

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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f36b9a3c81908abcc2a64d3e6061 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c845f0ddfc8190a3070205d7124c6c completed March 28, 2026, 9:19 p.m.
Created at: March 27, 2026, 3:13 p.m.