Triple

T23277708
Position Surface form Disambiguated ID Type / Status
Subject Sumter County E588766 entity
Predicate borders P224 FINISHED
Object Williamsburg 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: Williamsburg County | Statement: [Sumter County, borders, Williamsburg County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Williamsburg County
Context triple: [Sumter County, borders, 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 county in central North Carolina known for its rural communities, pottery heritage, and location within the Piedmont region.
  • C. 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.
  • D. Randolph County
    Randolph County is a county in southwestern Illinois known for its historic river towns, including Chester along the Mississippi River.
  • E. Burke County
    Burke County is a largely rural county in eastern Georgia known for its agricultural landscape and small towns such as Sardis and Waynesboro.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19578adf48190bdb129a55f86172c completed April 29, 2026, 5:22 a.m.
Created at: April 17, 2026, 4:49 p.m.