Triple

T14968720
Position Surface form Disambiguated ID Type / Status
Subject New York State Route 59 E373259 entity
Predicate passesThrough P225 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: [New York State Route 59, passesThrough, Nanuet, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanuet, New York
Context triple: [New York State Route 59, passesThrough, 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
    Tappan is a surname most notably associated with the prominent 19th-century American abolitionist and philanthropist Arthur Tappan.
  • D. 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.
  • E. Centereach, New York
    Centereach, New York is a suburban hamlet on central Long Island known for its residential neighborhoods, schools, and local commercial centers.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e44cb0819096e09f8026ef8174 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a014132570081909fab220c002c2f10 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 2:48 a.m.