Triple

T4635372
Position Surface form Disambiguated ID Type / Status
Subject River Wear E101516 entity
Predicate passesThrough P225 FINISHED
Object City of 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: City of Durham | Statement: [River Wear, passesThrough, City of Durham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Durham
Context triple: [River Wear, passesThrough, City of 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, 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. City of Norfolk
    The City of Norfolk is an independent coastal city in southeastern Virginia known for its major naval base, historic port, and role as a cultural and economic hub of the Hampton Roads region.
  • E. Winston-Salem, North Carolina
    Winston-Salem, North Carolina is a mid-sized city known for its historic tobacco and textile industries, vibrant arts scene, and role as a regional economic and cultural center.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a60a66c8190b76f3d3a7da1df55 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0368d2748190bc8560ecb16e1997 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:13 p.m.