Triple

T13391948
Position Surface form Disambiguated ID Type / Status
Subject Nanuet station E319594 entity
Predicate servesCommunity P82 FINISHED
Object Nanuet, New York E1129660 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: Nanuet, New York | Statement: [Nanuet station, servesCommunity, Nanuet, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanuet, New York
Context triple: [Nanuet station, servesCommunity, Nanuet, New York]
  • A. Nanuet, New York chosen
    Nanuet, New York is a suburban hamlet in Rockland County known as a residential and commercial community within the New York City metropolitan area.
  • B. Tappan, New York
    Tappan, New York is a historic hamlet in Rockland County known for its colonial-era sites and role in the American Revolutionary War.
  • C. Tappan
    The Tappan were a Lenape (Delaware) Native American group who inhabited parts of present-day New York and New Jersey during the early colonial period.
  • D. Centereach, New York
    Centereach, New York is a suburban hamlet on central Long Island known for its residential neighborhoods, schools, and local commercial centers.
  • E. Eastchester, New York
    Eastchester, New York is a suburban town in southern Westchester County known for its residential neighborhoods, commuter access to New York City, and well-regarded public schools.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d74e5881909828854bba7d9a87 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe967a96708190b8688e84fdb270b0 completed May 9, 2026, 2:05 a.m.
Created at: April 9, 2026, 9:34 p.m.