Triple

T22518707
Position Surface form Disambiguated ID Type / Status
Subject Hanahan E556715 entity
Predicate adjacentTo P224 FINISHED
Object Charleston NE NERFINISHED

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: [Hanahan, adjacentTo, Charleston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charleston
Context triple: [Hanahan, adjacentTo, 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 is a small city in east-central Illinois best known as the home of Eastern Illinois University.
  • C. 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.
  • D. Charleston
    Charleston is a historic waterfront neighborhood in Bremerton, Washington, known for its residential character and proximity to the Puget Sound naval facilities.
  • E. The Charleston
    The Charleston is a famous early 20th-century American jazz dance and song that became emblematic of the Roaring Twenties.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e30a96081909b8511d525518da1 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.