Triple

T18595553
Position Surface form Disambiguated ID Type / Status
Subject Towanda E454484 entity
Predicate county P75 FINISHED
Object Bradford 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: Bradford County | Statement: [Towanda, county, Bradford County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bradford County
Context triple: [Towanda, county, Bradford County]
  • A. Bradford County chosen
    Bradford County is a largely rural county in northern Pennsylvania known for its agricultural landscape, small towns, and location along the New York state border.
  • B. Bradford County
    Bradford County is a rural county in north-central Florida known for its small-town communities, agriculture, and the county seat of Starke.
  • C. Pittsburg County
    Pittsburg County is a county in southeastern Oklahoma known for its mix of small cities, rural communities, and lakes, including the city of McAlester as its county seat.
  • D. Rutherford County
    Rutherford County is a county-level jurisdiction in Tennessee, United States, known for its rapidly growing population and the city of Murfreesboro as its county seat.
  • E. Fayette County
    Fayette County is a largely rural county in southwestern Pennsylvania known for its Appalachian landscape, historic industrial and coal-mining heritage, and proximity to the Pittsburgh metropolitan area.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545ba3bc881908f5308e09d54e05b completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.