Triple

T12647209
Position Surface form Disambiguated ID Type / Status
Subject Williamsburg County, South Carolina E302056 entity
Predicate hasName P744 FINISHED
Object Williamsburg County E866835 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: Williamsburg County | Statement: [Williamsburg County, South Carolina, hasName, Williamsburg County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Williamsburg County
Context triple: [Williamsburg County, South Carolina, hasName, Williamsburg County]
  • A. Williamsburg County chosen
    Williamsburg County is a rural county in eastern South Carolina known for its agricultural landscape, small towns, and historical ties to the Lowcountry region.
  • B. Randolph County
    Randolph County is a rural county in eastern Alabama known for its small towns, agricultural landscape, and proximity to the Georgia state line.
  • C. McDowell County
    McDowell County is a rural, historically coal-mining county located in the southern part of West Virginia.
  • D. Alexander County
    Alexander County is a rural county in western North Carolina known for its small communities, agricultural landscape, and location in the foothills of the Blue Ridge Mountains.
  • E. Woodford County
    Woodford County is a county in central Kentucky known for its horse farms, bourbon distilleries, and historic small towns.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614cefdc81908cfc4a4d04aa6eda completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687bbb408190b80da2d0310f82c5 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:17 p.m.