Triple

T4070030
Position Surface form Disambiguated ID Type / Status
Subject Charlotte campus E86622 entity
Predicate city P40 FINISHED
Object 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: Charlotte | Statement: [Charlotte campus, city, Charlotte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte
Context triple: [Charlotte campus, city, 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. Raleigh
    Raleigh is the capital city of North Carolina and a major hub for education, technology, and research within the state’s Research Triangle region.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbfa45c88190b7b13b35de816378 completed March 9, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589d11b0881909984a0b4f738b444 completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:38 p.m.