Triple

T21022204
Position Surface form Disambiguated ID Type / Status
Subject Chubby the Checker E517837 entity
Predicate city P40 FINISHED
Object Charlotte, North Carolina 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: Charlotte, North Carolina | Statement: [Chubby the Checker, city, Charlotte, North Carolina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte, North Carolina
Context triple: [Chubby the Checker, city, Charlotte, North Carolina]
  • A. Charlotte, North Carolina chosen
    Charlotte, North Carolina is the largest city in the state and a major U.S. financial and commercial hub known for hosting numerous corporate headquarters and a rapidly growing metropolitan area.
  • B. Columbia, North Carolina
    Columbia, North Carolina is a small town in Tyrrell County known as a gateway to the Albemarle-Pamlico Peninsula and nearby coastal wildlife refuges.
  • C. Charlotte
    Charlotte is a major city in North Carolina known as a financial hub and home to numerous universities and corporate campuses.
  • D. Charlotte
    Charlotte is a major city in North Carolina known for its financial industry, rapid growth, and cultural institutions.
  • E. Charlotte
    Charlotte is the largest city in North Carolina, known as a major U.S. financial hub and home to several professional and collegiate sports teams.
  • 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5e85d08190a67956a3dbe693de completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:54 p.m.