Triple

T19973812
Position Surface form Disambiguated ID Type / Status
Subject Potter County E493634 entity
Predicate borders P224 FINISHED
Object McKean 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: McKean County | Statement: [Potter County, borders, McKean County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McKean County
Context triple: [Potter County, borders, McKean County]
  • A. McKean County chosen
    McKean County is a largely rural county in north-central Pennsylvania known for its forests, outdoor recreation, and small industrial communities.
  • B. Wetzel County
    Wetzel County is a rural county in northern West Virginia known for its small Appalachian communities and location along the Ohio River.
  • C. 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.
  • D. 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.
  • E. McCracken County
    McCracken County is a county in western Kentucky best known for its seat, the river city of Paducah, a regional hub for commerce, healthcare, and education.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65bcb72048190aedb4f085ace0493 completed April 20, 2026, 5 p.m.
Created at: April 11, 2026, 3:17 p.m.