Triple

T1164664
Position Surface form Disambiguated ID Type / Status
Subject Macombs Dam Bridge E24573 entity
Predicate neighborhood P988 FINISHED
Object Concourse E63234 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 | Statement: [Macombs Dam Bridge, neighborhood, Concourse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concourse
Context triple: [Macombs Dam Bridge, neighborhood, Concourse]
  • A. Concourse chosen
    Concourse is a neighborhood in the South Bronx of New York City, known for its proximity to Yankee Stadium and the Grand Concourse boulevard.
  • B. Concourse C
    Concourse C is one of the main passenger terminal areas at Portland International Airport, housing multiple airline gates and traveler amenities.
  • C. Concourse C
    Concourse C is one of the main passenger terminal concourses at Washington Dulles International Airport, serving numerous domestic and international airline gates.
  • D. Concourse C
    Concourse C is one of the passenger terminal concourses at Charlotte Douglas International Airport, serving as a hub for boarding and deplaning commercial flights.
  • E. Concourse C
    Concourse C is one of the passenger terminal concourses at Chicago Midway International Airport, serving various airline gates and amenities for travelers.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bccb3b388190938c68dee90b3f19 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f323bbc8190a55fe2101f9561e2 completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:45 p.m.