Triple

T21335719
Position Surface form Disambiguated ID Type / Status
Subject Potter E526039 entity
Predicate county P75 FINISHED
Object Yates 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: Yates County | Statement: [Potter, county, Yates County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yates County
Context triple: [Potter, county, Yates County]
  • A. Yates County chosen
    Yates County is a rural county in New York State’s Finger Lakes region, known for its vineyards, agriculture, and lakeside communities.
  • B. Van Buren County
    Van Buren County is a county in southwestern Michigan known for its Lake Michigan shoreline, agricultural areas, and small towns.
  • C. Woods County
    Woods County is a rural county in northwestern Oklahoma known for its agricultural economy and the city of Alva, home to Northwestern Oklahoma State University.
  • D. Upton County
    Upton County is a sparsely populated, oil-producing county in western Texas known for its role in the Permian Basin energy region.
  • E. Oleckie County
    Oleckie County is a local government and administrative district in the Warmian-Masurian Voivodeship of northeastern Poland, centered around the town of Olecko.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898d6fcbc8190b83d9cfc9b4ca123 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 4:43 p.m.