Triple

T13693418
Position Surface form Disambiguated ID Type / Status
Subject Birley Room E328323 entity
Predicate locatedIn P40 FINISHED
Object Durham E59757 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: [Birley Room, locatedIn, Durham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durham
Context triple: [Birley Room, locatedIn, Durham]
  • A. Durham chosen
    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
    Durham is a common English surname of Old English origin, associated with various notable individuals and places.
  • D. 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.
  • E. Durham County
    Durham County is a Canadian crime drama television series centered on a detective confronting personal and professional turmoil in a suburban community.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944e7ea0819098a9fbf8842d314b completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.