Triple

T23215904
Position Surface form Disambiguated ID Type / Status
Subject Lake Grove, New York E580737 entity
Predicate locatedNear P294 FINISHED
Object Centereach E616292 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: Centereach | Statement: [Lake Grove, New York, locatedNear, Centereach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centereach
Context triple: [Lake Grove, New York, locatedNear, Centereach]
  • A. Centereach, New York chosen
    Centereach, New York is a suburban hamlet on central Long Island known for its residential neighborhoods, schools, and local commercial centers.
  • B. Uniondale
    Uniondale is a small rural town in South Africa’s Western Cape province, known for its agricultural surroundings and its location along the scenic Garden Route.
  • C. Cambria Heights
    Cambria Heights is a predominantly residential neighborhood in southeastern Queens, New York City, known for its suburban character and diverse community.
  • D. Elmont
    Elmont is an unincorporated community located in Shawnee County, Kansas, United States.
  • E. Neponsit
    Neponsit is a residential neighborhood in the Rockaway Peninsula of Queens, New York City, known for its beachfront homes and suburban character.
  • 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f191646c548190a3f7150f0c253dc1 completed April 29, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30ca89508190847874ab3bc1e01f completed May 19, 2026, 9:43 a.m.
Created at: April 17, 2026, 4:08 p.m.