Triple

T19658580
Position Surface form Disambiguated ID Type / Status
Subject Fallsburg, New York E472014 entity
Predicate adjacentTo P224 FINISHED
Object Thompson, New York NE NERFINISHED

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: Thompson, New York | Statement: [Fallsburg, New York, adjacentTo, Thompson, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thompson, New York
Context triple: [Fallsburg, New York, adjacentTo, Thompson, New York]
  • A. Thompson, New York chosen
    Thompson, New York is a town in Sullivan County known for its location in the Catskills region and its tourism, recreation, and resort history.
  • B. Thurston, New York
    Thurston, New York is a small rural town located in Steuben County in the Southern Tier region of upstate New York.
  • C. 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.
  • D. Scio, New York
    Scio, New York is a small rural town in Allegany County known as the birthplace of Medal of Honor recipient Jason Dunham.
  • E. Thurman, New York
    Thurman, New York is a small rural town in the Adirondack region known for its forests, outdoor recreation, and maple syrup production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641485ce481908b3860fa5e3a9f6e completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.