Triple

T22141917
Position Surface form Disambiguated ID Type / Status
Subject Union County, South Carolina E547180 entity
Predicate seat P75 FINISHED
Object Union, South Carolina 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: Union, South Carolina | Statement: [Union County, South Carolina, seat, Union, South Carolina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union, South Carolina
Context triple: [Union County, South Carolina, seat, Union, South Carolina]
  • A. Union, South Carolina chosen
    Union, South Carolina is a small historic city in the Upstate region known for its textile heritage and role in the American Revolutionary War.
  • B. Williams, South Carolina
    Williams, South Carolina is a small rural town located in Colleton County in the southern part of the state.
  • C. Jefferson, South Carolina
    Jefferson, South Carolina is a small rural town in northeastern South Carolina known for its close-knit community and agricultural surroundings.
  • D. Columbia, South Carolina
    Columbia, South Carolina is the capital and largest city of South Carolina, known for its role as a regional center of government, education, and culture.
  • E. Clinton, South Carolina
    Clinton, South Carolina is a small city in upstate South Carolina known historically as a textile and railroad community and home to Presbyterian College.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129beb6c8819083be3b7479bc032f completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.