Triple

T4435695
Position Surface form Disambiguated ID Type / Status
Subject United States Attorney for the District of South Carolina E95642 entity
Predicate hasAdditionalOfficesIn P1268 FINISHED
Object Florence, South Carolina E290975 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: Florence, South Carolina | Statement: [United States Attorney for the District of South Carolina, hasAdditionalOfficesIn, Florence, South Carolina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Florence, South Carolina
Context triple: [United States Attorney for the District of South Carolina, hasAdditionalOfficesIn, Florence, South Carolina]
  • A. Florence, South Carolina chosen
    Florence, South Carolina is a regional hub city in northeastern South Carolina known for its role in transportation, healthcare, and commerce within the Pee Dee area.
  • B. Florence County, South Carolina
    Florence County, South Carolina is a county in the eastern part of the state centered on the city of Florence and known as a regional hub for transportation, healthcare, and commerce in the Pee Dee area.
  • C. Jackson, South Carolina
    Jackson, South Carolina is a small town in western South Carolina located near the Savannah River and the Savannah River Site, within the Augusta metropolitan area.
  • D. 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.
  • E. 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.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3564216b081908c41109100b36862 completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61377180c8190898300fe0cd77433 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:31 p.m.