Triple

T13910193
Position Surface form Disambiguated ID Type / Status
Subject Bamberg County, South Carolina E334469 entity
Predicate hasSettlement P1068 FINISHED
Object Hilda, South Carolina E456792 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: Hilda, South Carolina | Statement: [Bamberg County, South Carolina, hasSettlement, Hilda, South Carolina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hilda, South Carolina
Context triple: [Bamberg County, South Carolina, hasSettlement, Hilda, South Carolina]
  • A. Hilda, South Carolina chosen
    Hilda, South Carolina is a small rural town located in Barnwell County in the southern part of the state.
  • B. Gilbert, South Carolina
    Gilbert, South Carolina is a small rural town in central South Carolina known for its tight-knit community and agricultural surroundings.
  • C. Turbeville, South Carolina
    Turbeville, South Carolina is a small rural town in eastern South Carolina known for its agricultural surroundings and location within Clarendon County.
  • D. Holly Hill, South Carolina
    Holly Hill, South Carolina is a small town in the central part of the state known for its rural character and close-knit community.
  • E. Kline, South Carolina
    Kline, South Carolina is a small rural town located in Barnwell County in the southern part of the state.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2723461881908376b5509ee0d530 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c72879e48190ac01d0a2023b098c completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:16 p.m.