Triple

T2111791
Position Surface form Disambiguated ID Type / Status
Subject Crescent E42519 entity
Predicate servesCity P82 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: [Crescent, servesCity, Charlotte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte
Context triple: [Crescent, servesCity, 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, 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.
  • D. 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.
  • E. Fayetteville
    Fayetteville is a small town in southern West Virginia known for its proximity to the New River Gorge and its reputation as a hub for outdoor recreation and adventure tourism.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb0369a88190af02f0e4e05e2511 completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f72ad8c81909da734f6316f747f completed March 9, 2026, 7:28 p.m.
Created at: March 4, 2026, 7:43 p.m.