Triple

T13227472
Position Surface form Disambiguated ID Type / Status
Subject Hudson Valley politics E314918 entity
Predicate includesCounty P5971 FINISHED
Object Greene County E162949 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: Greene County | Statement: [Hudson Valley politics, includesCounty, Greene County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greene County
Context triple: [Hudson Valley politics, includesCounty, Greene County]
  • A. 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.
  • B. Greene County chosen
    Greene County is a rural county in eastern New York State known for encompassing a significant portion of the scenic Catskill Mountains.
  • C. Greene County
    Greene County is a local government jurisdiction in Tennessee that administers public services and infrastructure, including the Greeneville–Greene County Municipal Airport.
  • 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 rural county in eastern North Carolina known for its agricultural landscape and small-town communities.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3232d48190a3c792b025c596a6 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb63f006c8190997c0f3cdc6efd6c completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 9:21 p.m.