Triple

T3338259
Position Surface form Disambiguated ID Type / Status
Subject College of Charleston E70191 entity
Predicate city P40 FINISHED
Object Charleston 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 | Statement: [College of Charleston, city, Charleston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charleston
Context triple: [College of Charleston, city, Charleston]
  • 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 was the original name of the city now known as Lorain, Ohio, a Great Lakes industrial community on the shores of Lake Erie.
  • C. Charleston
    Charleston is a historic waterfront neighborhood in Bremerton, Washington, known for its residential character and proximity to the Puget Sound naval facilities.
  • D. Charleston
    Charleston is a small city in east-central Illinois best known as the home of Eastern Illinois University.
  • E. Charlotte
    Charlotte is a royal figure bearing the traditional title of Princess Royal, historically associated with the eldest daughter of the British monarch.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1bd6c7c8190b7229de1433d8d20 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360a07dec819094b0645d0e2a91da completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:12 p.m.