Triple

T5146308
Position Surface form Disambiguated ID Type / Status
Subject Upstate South Carolina E116078 entity
Predicate contains P35 FINISHED
Object Spartanburg, South Carolina E61724 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: Spartanburg, South Carolina | Statement: [Upstate South Carolina, contains, Spartanburg, South Carolina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spartanburg, South Carolina
Context triple: [Upstate South Carolina, contains, Spartanburg, South Carolina]
  • A. Spartanburg, South Carolina chosen
    Spartanburg, South Carolina is a city in the Upstate region known as a regional economic and educational hub and a key stop on Amtrak’s Crescent passenger rail line.
  • B. 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.
  • C. Fort Mill, South Carolina
    Fort Mill, South Carolina is a rapidly growing suburban town in York County just south of Charlotte, known for its proximity to the North Carolina border and family-friendly communities.
  • D. Gaffney, South Carolina
    Gaffney, South Carolina is a small city in Cherokee County known historically for its textile industry and regionally for the landmark Peachoid water tower.
  • E. Mount Pleasant, South Carolina
    Mount Pleasant is a rapidly growing suburban town in the Charleston metropolitan area of South Carolina, known for its coastal setting, historic sites, and residential communities.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78ac677881909ce8632f1a8af880 completed March 20, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69becff590ec81908ed03474f21a95f5 completed March 21, 2026, 5:05 p.m.
Created at: March 20, 2026, 1:43 p.m.