Triple

T21552121
Position Surface form Disambiguated ID Type / Status
Subject Duke Blue Devils women's soccer E531787 entity
Predicate homeCity P263 FINISHED
Object Durham NE NERFINISHED

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: [Duke Blue Devils women's soccer, homeCity, Durham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durham
Context triple: [Duke Blue Devils women's soccer, homeCity, 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
    Durham is a common English surname of Old English origin, associated with various notable individuals and places.
  • D. Durham
    Durham is a small rural community located in Pictou County in the Canadian province of Nova Scotia.
  • E. Durham, North Carolina chosen
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb59375f481909d9e2b66d18c7c32 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:29 p.m.