Triple

T15425311
Position Surface form Disambiguated ID Type / Status
Subject Northeastern New York E369493 entity
Predicate includes P1393 FINISHED
Object Clinton County E395273 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: Clinton County | Statement: [Northeastern New York, includes, Clinton County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clinton County
Context triple: [Northeastern New York, includes, Clinton County]
  • A. Clinton County chosen
    Clinton County is the name of numerous counties in the United States, typically named after prominent American statesmen such as George Clinton or DeWitt Clinton.
  • B. 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.
  • C. Greene County
    Greene County is a rural county in eastern New York State known for encompassing a significant portion of the scenic Catskill Mountains.
  • D. Greene County
    Greene County is a rural county in western Alabama known for its historical significance in the Black Belt region and its predominantly African American population.
  • E. Greene County
    Greene County is a local government jurisdiction in Tennessee that administers public services and infrastructure, including the Greeneville–Greene County Municipal Airport.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec1fb288190a3625b8e4f487dd1 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb7921208190bbf4e1a01c6ec5ee completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 3:20 a.m.