Triple

T19771144
Position Surface form Disambiguated ID Type / Status
Subject Third Judicial District of New York E474889 entity
Predicate includesCounty P5971 FINISHED
Object Greene County 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: Greene County | Statement: [Third Judicial District of New York, includesCounty, Greene County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greene County
Context triple: [Third Judicial District of New York, 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 Illinois known for its agricultural landscape and small communities.
  • E. 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.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535bd8c0819097671783962b6bc5 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:48 p.m.