Triple

T2182976
Position Surface form Disambiguated ID Type / Status
Subject Concourse B Station E49086 entity
Predicate connectsWith P37 FINISHED
Object Concourse A Station E48554 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 Station | Statement: [Concourse B Station, connectsWith, Concourse A Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concourse A Station
Context triple: [Concourse B Station, connectsWith, Concourse A Station]
  • A. Concourse A Station chosen
    Concourse A Station is an AeroTrain people-mover stop serving passengers traveling to and from Concourse A at Washington Dulles International Airport.
  • B. Concourse B Station
    Concourse B Station is an AeroTrain passenger rail stop serving Concourse B at Washington Dulles International Airport, providing automated transit between terminals.
  • C. Concourse C
    Concourse C is one of the passenger terminal concourses at Chicago Midway International Airport, serving various airline gates and amenities for travelers.
  • D. Concourse C
    Concourse C is one of the passenger terminal concourses at Hartsfield–Jackson Atlanta International Airport, serving numerous domestic airline gates and amenities.
  • E. Concourse C
    Concourse C is one of the passenger terminal concourses at Seattle–Tacoma International Airport, serving various domestic airline gates and amenities.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf0d551881909d7f907378e1b2b7 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf17c28c81908f6b51c9ac6bc6ea completed March 9, 2026, 12:37 p.m.
Created at: March 4, 2026, 7:45 p.m.