Triple

T5404382
Position Surface form Disambiguated ID Type / Status
Subject CLT E120855 entity
Predicate owner P347 FINISHED
Object City of Charlotte E22700 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: City of Charlotte | Statement: [CLT, owner, City of Charlotte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Charlotte
Context triple: [CLT, owner, City of Charlotte]
  • A. Charlotte
    Charlotte is a feminine given name of French and English origin, traditionally used as the female form of Charles and borne by numerous queens, nobles, and notable figures.
  • B. Charlotte
    Charlotte is a royal figure bearing the traditional title of Princess Royal, historically associated with the eldest daughter of the British monarch.
  • C. Charlotte
    Charlotte is a prominent American professional wrestler best known for her championship success in WWE and for being the daughter of wrestling legend Ric Flair.
  • D. 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.
  • E. Winston-Salem, North Carolina
    Winston-Salem, North Carolina is a mid-sized city known for its historic tobacco and textile industries, vibrant arts scene, and role as a regional economic and cultural center.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8774cd8881909b3437ba02018444 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf339037b4819084423826b7252002 completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:05 p.m.