Triple

T7424547
Position Surface form Disambiguated ID Type / Status
Subject Canadian County E171335 entity
Predicate borderedBy P224 FINISHED
Object Cleveland County E291656 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: Cleveland County | Statement: [Canadian County, borderedBy, Cleveland County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cleveland County
Context triple: [Canadian County, borderedBy, 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-level jurisdiction in Tennessee, United States, known for its rapidly growing population and the city of Murfreesboro as its county seat.
  • E. Madison County
    Madison County is a county in central New York State known for its rural communities, agriculture, and small historic towns such as Oneida and Cazenovia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f302b33481908eae877970f2bbdf completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86134a2108190a8e181e47af18e36 completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:12 p.m.