Triple

T1574411
Position Surface form Disambiguated ID Type / Status
Subject The Pool E33614 entity
Predicate locatedIn P40 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: [The Pool, locatedIn, Central Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Park
Context triple: [The Pool, locatedIn, Central Park]
  • A. 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.
  • B. Central Park
    Central Park is a major public park in Grand Prairie, Texas, featuring recreational facilities, green spaces, and community amenities.
  • C. Central Park
    Central Park is a football stadium in Cowdenbeath, Scotland, best known as the long-time home ground of Cowdenbeath F.C.
  • D. 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.
  • E. 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.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908bcd87881908b911314a30dd327 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6518e07081909c34a363d7ac0f25 completed March 9, 2026, 6:13 a.m.
Created at: March 4, 2026, 7:27 p.m.