Triple

T23160083
Position Surface form Disambiguated ID Type / Status
Subject Garvin County E578557 entity
Predicate bordersOn P224 FINISHED
Object Cleveland 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: Cleveland County | Statement: [Garvin County, bordersOn, Cleveland County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cleveland County
Context triple: [Garvin County, bordersOn, Cleveland County]
  • A. Cleveland County
    Cleveland County is a county in southwestern North Carolina that forms part of the greater Charlotte metropolitan region.
  • B. Cleveland County chosen
    Cleveland County is a county in central Oklahoma that forms part of the Oklahoma City metropolitan area.
  • C. Cleveland County
    Cleveland County is a rural county in south-central Arkansas known for its small communities, timber industry, and agricultural economy.
  • D. Rutherford County
    Rutherford County is a county in western North Carolina known for its foothills location near the Blue Ridge Mountains and its mix of small towns, rural landscapes, and historical sites.
  • E. 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.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18eff965081909aaa6fc1910293e2 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.