Triple

T7585791
Position Surface form Disambiguated ID Type / Status
Subject Central Park water system E179608 entity
Predicate hasPart P35 FINISHED
Object Harlem Meer E39904 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: Harlem Meer | Statement: [Central Park water system, hasPart, Harlem Meer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlem Meer
Context triple: [Central Park water system, hasPart, Harlem Meer]
  • A. Harlem Meer chosen
    Harlem Meer is a picturesque man-made lake and surrounding landscape located at the northeast corner of Central Park in New York City.
  • B. Bijlmermeer
    Bijlmermeer is a residential neighborhood in Amsterdam, Netherlands, known for its large-scale modernist high-rise housing and diverse, multicultural population.
  • C. Muiderkring
    Muiderkring was a 17th-century Dutch literary and artistic circle centered around P.C. Hooft and other prominent writers and intellectuals who gathered at Muiden Castle.
  • D. Drecht
    Drecht is a lesser-known Dutch river whose waters help form the Amstel through their confluence.
  • E. Nieuwegracht
    Nieuwegracht is a historic canal in the Dutch city of Utrecht, known for its picturesque quays, wharf cellars, and centuries-old houses lining its banks.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f995c8a8819089817bd679640017 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86840abc08190b7ca9fb8e2968311 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:52 p.m.