Triple

T7144613
Position Surface form Disambiguated ID Type / Status
Subject ATL E166530 entity
Predicate hasConcourse P1656 FINISHED
Object Concourse B E170719 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 B | Statement: [ATL, hasConcourse, Concourse B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concourse B
Context triple: [ATL, hasConcourse, Concourse B]
  • A. Concourse B
    Concourse B is a passenger terminal concourse at Washington Dulles International Airport that serves numerous domestic and international airline gates and amenities.
  • B. Concourse B
    Concourse B is one of the passenger terminal concourses at Portland International Airport, serving airline gates and related airport facilities.
  • C. Concourse B
    Concourse B is a major passenger terminal concourse at Dubai International Airport, primarily serving international flights and offering extensive shopping, dining, and lounge facilities.
  • D. Concourse B chosen
    Concourse B is one of the main passenger terminal concourses at Hartsfield–Jackson Atlanta International Airport, serving numerous domestic airline gates and amenities.
  • E. Concourse B
    Concourse B is a passenger terminal concourse at Cincinnati/Northern Kentucky International Airport that serves as a hub for airline gates, boarding areas, and related airport services.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d1652c8190973edceab55f04bc completed March 27, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8e72bf081909bb63a4b6f2613df completed March 28, 2026, 11:17 a.m.
Created at: March 27, 2026, 2:46 p.m.