Triple

T1103065
Position Surface form Disambiguated ID Type / Status
Subject Bible Belt E25424 entity
Predicate partlyIn P35 FINISHED
Object South Carolina E22331 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: South Carolina | Statement: [Bible Belt, partlyIn, South Carolina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Carolina
Context triple: [Bible Belt, partlyIn, South Carolina]
  • A. South Carolina chosen
    South Carolina is a southeastern U.S. state known for its Atlantic coastline, historic cities like Charleston, and significant role in early American and Civil War history.
  • B. Carolinas
    The Carolinas are a region of the southeastern United States comprising the states of North Carolina and South Carolina.
  • C. North Carolina
    North Carolina is a southeastern U.S. state known for its diverse geography from Atlantic beaches to the Appalachian Mountains, major cities like Charlotte and Raleigh, and a strong presence in finance, research, and higher education.
  • D. Carolina
    Carolina is a major municipality in Puerto Rico, known for its urban character, commercial centers, and proximity to San Juan.
  • E. Carolina
    Carolina is a common nickname for the University of North Carolina at Chapel Hill, a major public research university known for its strong academics and athletic programs.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c375848190baec4d534f489616 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada0b527dc819085f7b3ff85170e16 completed March 8, 2026, 4:15 p.m.
Created at: March 1, 2026, 7:43 p.m.