Triple

T2708998
Position Surface form Disambiguated ID Type / Status
Subject Diocese of South Carolina E59811 entity
Predicate seeCity P3207 FINISHED
Object Charleston, South Carolina E13422 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: Charleston, South Carolina | Statement: [Diocese of South Carolina, seeCity, Charleston, South Carolina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charleston, South Carolina
Context triple: [Diocese of South Carolina, seeCity, Charleston, South Carolina]
  • A. Charleston chosen
    Charleston is a historic port city in South Carolina known as a key center of colonial resistance to British rule, including major protests against imperial taxation.
  • B. Charleston
    Charleston is a historic waterfront neighborhood in Bremerton, Washington, known for its residential character and proximity to the Puget Sound naval facilities.
  • C. Charleston
    Charleston is a small city in east-central Illinois best known as the home of Eastern Illinois University.
  • D. Charleston
    Charleston was the original name of the city now known as Lorain, Ohio, a Great Lakes industrial community on the shores of Lake Erie.
  • E. 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.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda7542548190bbf6c947145f7f63 completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb683092c8190859e92acadfb820c completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.