Triple

T8637616
Position Surface form Disambiguated ID Type / Status
Subject Consett E204561 entity
Predicate near P350 FINISHED
Object Durham City 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 City | Statement: [Consett, near, Durham City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durham City
Context triple: [Consett, near, Durham City]
  • A. Newcastle upon Tyne
    Newcastle upon Tyne is a major city in northeast England known for its industrial heritage, iconic Tyne Bridge, and vibrant cultural and nightlife scenes.
  • B. Durham chosen
    Durham is a historic cathedral city in northeast England known for its Norman architecture and prestigious university.
  • C. Durham
    Durham is a regional municipality in Southern Ontario, Canada, encompassing several communities east of Toronto including cities like Whitby and Oshawa.
  • D. Newcastle
    Newcastle is a coastal city in New South Wales, Australia, known for its busy port, beaches, and industrial heritage.
  • E. Newcastle
    Newcastle is a settlement within the Parish of St. Andrew, likely a small town or village in a predominantly rural Caribbean island parish.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc476255508190b3e5855232b399a0 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccaa77688190bbcf3fbd6af7c195 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:28 p.m.