Triple

T16886744
Position Surface form Disambiguated ID Type / Status
Subject Teesside E421558 entity
Predicate historicalCounty P1069 FINISHED
Object County Durham E40394 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: County Durham | Statement: [Teesside, historicalCounty, County Durham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: County Durham
Context triple: [Teesside, historicalCounty, County Durham]
  • A. County Durham chosen
    County Durham is a historic county in North East England known for its cathedral city of Durham, rich industrial heritage, and scenic dales.
  • B. North Durham
    North Durham is a parliamentary constituency in County Durham, England, represented in the UK House of Commons.
  • C. North West Durham
    North West Durham is a UK parliamentary constituency in County Durham, England, represented in the House of Commons.
  • D. North Yorkshire
    North Yorkshire is a large ceremonial county in northern England known for its expansive rural landscapes, including much of the Yorkshire Dales and North York Moors National Parks.
  • E. Northumberland
    Northumberland is a historic and largely rural county in northeast England, known for its rugged coastline, medieval castles, and significant Roman heritage.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc1f42481909dcf595358c23497 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2befaa88190ba83dc17aa66b541 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.