Triple

T11683668
Position Surface form Disambiguated ID Type / Status
Subject Passaic, New Jersey E277681 entity
Predicate hasPark P105 FINISHED
Object Pulaski Park E810496 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: Pulaski Park | Statement: [Passaic, New Jersey, hasPark, Pulaski Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pulaski Park
Context triple: [Passaic, New Jersey, hasPark, Pulaski Park]
  • A. Pulaski Park
    Pulaski Park is a central public green space and community gathering spot located in downtown Northampton, Massachusetts.
  • B. Pulaski Park chosen
    Pulaski Park is a public recreational park within the Essex County Park System in New Jersey, offering green space and community amenities for local residents.
  • C. Pulaski Square
    Pulaski Square is one of Savannah, Georgia’s historic, oak-shaded public squares, known for its 19th-century charm and surrounding period architecture.
  • D. Johnson Park
    Johnson Park is a public recreational park located in Andalusia, Alabama.
  • E. Johnson Park
    Johnson Park is a public recreational park located in Hackensack, New Jersey, offering green space and outdoor amenities for local residents and visitors.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f457f7be0081908f8e1760cc7b8294 completed May 1, 2026, 7:36 a.m.
Created at: April 8, 2026, 9:40 p.m.