Triple

T13193035
Position Surface form Disambiguated ID Type / Status
Subject The Bronx Museum of the Arts E314040 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: [The Bronx Museum of the Arts, neighborhood, Concourse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concourse
Context triple: [The Bronx Museum of the Arts, 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 passenger concourses within Detroit Metropolitan Wayne County Airport’s McNamara Terminal, serving airline gates, boarding areas, and related traveler amenities.
  • C. Concourse C
    Concourse C is one of the passenger terminal concourses at Cleveland Hopkins International Airport, serving as a boarding area for multiple airline gates and flights.
  • D. Concourse C
    Concourse C is one of the passenger boarding areas within Terminal 1 at Fort Lauderdale–Hollywood International Airport, serving multiple airline gates and amenities.
  • E. Concourse C
    Concourse C is one of the main passenger terminal areas at Portland International Airport, housing multiple airline gates and traveler 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c6158e4819082c8ad75b4dfdd90 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5fef9e48190961d66ebcc1df11f completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:16 p.m.