Triple

T10260665
Position Surface form Disambiguated ID Type / Status
Subject Richard Durham E240585 entity
Predicate familyName P18 FINISHED
Object Durham unclear NED1 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: Durham | Statement: [Richard Durham, familyName, Durham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durham
Context triple: [Richard Durham, familyName, Durham]
  • A. Durham
    Durham is a historic cathedral city in northeast England known for its Norman architecture and prestigious university.
  • B. Durham
    Durham is a regional municipality in Southern Ontario, Canada, encompassing several communities east of Toronto including cities like Whitby and Oshawa.
  • C. Durham, North Carolina
    Durham, North Carolina is a major city in the Research Triangle region known for Duke University, a strong research and tech economy, and a rich civil rights and tobacco-industry history.
  • D. Durham County
    Durham County is a Canadian crime drama television series centered on a detective confronting personal and professional turmoil in a suburban community.
  • E. Durham, New Hampshire
    Durham, New Hampshire is a small New England town best known as the home of the University of New Hampshire and for its historic role in early American history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d25bc7f88190b7e83243894d1aeb completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7f1500c819089d569dbfce705b8 completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:32 a.m.