Triple

T1618589
Position Surface form Disambiguated ID Type / Status
Subject Lasker Rink E34777 entity
Predicate locatedNear P294 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: [Lasker Rink, locatedNear, Harlem Meer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlem Meer
Context triple: [Lasker Rink, locatedNear, 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. 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.
  • C. Leidsegracht
    Leidsegracht is a historic canal in Amsterdam’s canal belt, known for its picturesque bridges and traditional Dutch canal houses.
  • D. Ooltgensplaat
    Ooltgensplaat is a small village in the western Netherlands, located on the island of Goeree-Overflakkee and known for its historic harbor and rural character.
  • E. IJmeer
    IJmeer is a shallow lake in the Netherlands, located east of Amsterdam and forming part of the IJsselmeer lake system.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909addb348190a80a97422efcaa63 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad6810e09c81909a214d16d865646a completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:28 p.m.