Triple

T6815832
Position Surface form Disambiguated ID Type / Status
Subject Interstate 684 E156749 entity
Predicate passesNear P416 FINISHED
Object Brewster, New York E286546 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: Brewster, New York | Statement: [Interstate 684, passesNear, Brewster, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brewster, New York
Context triple: [Interstate 684, passesNear, Brewster, New York]
  • A. Brewster, New York chosen
    Brewster, New York is a small village in Putnam County known as a commuter hub for New York City and a gateway to the region’s reservoirs and outdoor recreation areas.
  • B. Stillwater, New York
    Stillwater, New York is a small hamlet in the Adirondack region of upstate New York, known for its proximity to Stillwater Reservoir and outdoor recreational opportunities.
  • C. Benson, New York
    Benson, New York is a small rural town located in the Adirondack region of Hamilton County.
  • D. Buchanan, New York
    Buchanan, New York is a small village in northern Westchester County along the Hudson River, known for its residential character and proximity to major transportation routes.
  • E. Waverly, New York
    Waverly, New York is a small village in the Southern Tier region near the Pennsylvania border, known historically as a local railroad and industrial hub.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32dc19c8190a871cc1ff1471a58 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c364d248190a5ce03fd52de91ba completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 2:17 p.m.