Triple

T2431333
Position Surface form Disambiguated ID Type / Status
Subject Shaw University E52851 entity
Predicate city P40 FINISHED
Object Raleigh E18109 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: Raleigh | Statement: [Shaw University, city, Raleigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raleigh
Context triple: [Shaw University, city, Raleigh]
  • A. Raleigh chosen
    Raleigh is the capital city of North Carolina and a major hub for education, technology, and research within the state’s Research Triangle region.
  • B. Charlotte, North Carolina
    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.
  • C. Charlotte
    Charlotte is a royal figure bearing the traditional title of Princess Royal, historically associated with the eldest daughter of the British monarch.
  • D. 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.
  • E. Raleigh–Durham area
    The Raleigh–Durham area is a major metropolitan region in North Carolina centered around the cities of Raleigh and Durham and closely associated with the Research Triangle.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9c767a88190b31cbccdce8e8982 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20f1e61308190be9604bce0be83d2 completed March 12, 2026, 12:55 a.m.
Created at: March 6, 2026, 9:43 p.m.