Triple

T12470891
Position Surface form Disambiguated ID Type / Status
Subject Norman Chapel E298052 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: [Norman Chapel, locatedIn, Durham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durham
Context triple: [Norman Chapel, 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dba7f6c8190b272f649e0777362 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba3983c8190aef5e3b6a6d2e41e completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.