Triple

T798292
Position Surface form Disambiguated ID Type / Status
Subject Catskill Mountains E17070 entity
Predicate administrativeRegion P285 FINISHED
Object Sullivan County E72363 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: Sullivan County | Statement: [Catskill Mountains, administrativeRegion, Sullivan County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sullivan County
Context triple: [Catskill Mountains, administrativeRegion, Sullivan County]
  • A. Sullivan County chosen
    Sullivan County is a rural county in southeastern New York State, known for its Catskill Mountains scenery, outdoor recreation, and historic role as a popular vacation destination.
  • B. Columbia County
    Columbia County is a rural county in eastern New York State known for its Hudson River frontage, historic towns, and agricultural landscapes.
  • C. Putnam County
    Putnam County is a suburban county in southeastern New York State known for its lakes, forests, and commuter communities north of New York City.
  • D. Madison County
    Madison County is a county in central Mississippi, located in the Jackson metropolitan area and known for its rapidly growing suburban communities.
  • E. Greene County
    Greene County is a rural county in southwestern Pennsylvania known for its Appalachian landscape, coal mining history, and small-town communities within the greater Pittsburgh region.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b4d9548190aad5fdf1211cf8cd completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0895e1b48190921b5ba783823f3c completed March 8, 2026, 5:26 a.m.
Created at: March 1, 2026, 7:38 p.m.