Triple

T4866094
Position Surface form Disambiguated ID Type / Status
Subject Hearst Tower (New York City) E108773 entity
Predicate near P350 FINISHED
Object Central Park E5448 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: Central Park | Statement: [Hearst Tower (New York City), near, Central Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Park
Context triple: [Hearst Tower (New York City), near, Central Park]
  • A. Central Park
    Central Park is a major public park in Grand Prairie, Texas, featuring recreational facilities, green spaces, and community amenities.
  • B. Central Park chosen
    Central Park is a large, iconic urban park in the heart of Manhattan, known for its landscaped grounds, recreational spaces, and cultural significance.
  • C. Central Park
    Central Park is a large circular public park at the heart of Connaught Place in New Delhi, known for its open green space, amphitheater, and role as a popular recreational and cultural hub.
  • D. Central Park
    Central Park is a football stadium in Cowdenbeath, Scotland, best known as the long-time home ground of Cowdenbeath F.C.
  • E. Central Park
    Central Park is an animated musical comedy television series that follows the quirky Tillerman family as they protect and manage New York City's iconic Central Park.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d7a42f88190bb1ef7261bcbc2a8 completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6faf39d4819091f76ce321c7e82a completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:26 p.m.