Triple

T6159307
Position Surface form Disambiguated ID Type / Status
Subject Potter E137400 entity
Predicate hasToponymicUse P20238 FINISHED
Object Potter County unclear NED1 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: Potter County | Statement: [Potter, hasToponymicUse, Potter County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Potter County
Context triple: [Potter, hasToponymicUse, Potter County]
  • A. Potter County
    Potter County is a county in the Texas Panhandle that includes the city of Amarillo and serves as an important regional hub for commerce and transportation.
  • B. Potter County
    Potter County is a rural county in north-central Pennsylvania known for its extensive forests, outdoor recreation, and low light pollution that makes it a popular stargazing destination.
  • 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. Perry County
    Perry County is a rural county in central Alabama known for its historic role in the civil rights movement and its predominantly agricultural landscape.
  • E. Pike County
    Pike County is a county in southeastern Alabama known for its agricultural economy and as the home of Troy University.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d3445dc8190822954cee90f0dd7 completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3cbf914819086c9553904aee0e5 completed March 27, 2026, 1:56 a.m.
Created at: March 22, 2026, 4:17 p.m.