Triple

T7162536
Position Surface form Disambiguated ID Type / Status
Subject The Bronx E166980 entity
Predicate hasLandmark P105 FINISHED
Object Hunts Point Market E338573 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: Hunts Point Market | Statement: [The Bronx, hasLandmark, Hunts Point Market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunts Point Market
Context triple: [The Bronx, hasLandmark, Hunts Point Market]
  • A. Hunts Point Terminal Market chosen
    Hunts Point Terminal Market is one of the world’s largest wholesale food distribution centers, serving as a major hub for produce, meat, and seafood in New York City.
  • B. Bronx Terminal Market
    Bronx Terminal Market is a large shopping and retail complex in the South Bronx that replaced a historic wholesale produce market and now houses major big-box stores and parking facilities.
  • C. West Side Market
    West Side Market is a historic public market in Cleveland, Ohio, known for its diverse food vendors and iconic architecture.
  • D. Grand Central Market
    Grand Central Market is a historic open-air food hall and cultural hub in downtown Los Angeles known for its diverse vendors and vibrant atmosphere.
  • E. Broadway Market
    Broadway Market is a vibrant street market in East London known for its mix of food stalls, independent shops, and lively weekend atmosphere.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e82e4b248190ad3c3863cb93971e completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adc4b7648190969fab0351f9fd22 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:47 p.m.