Triple

T3584691
Position Surface form Disambiguated ID Type / Status
Subject Yorkshire E75882 entity
Predicate borders P224 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: [Yorkshire, borders, County Durham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: County Durham
Context triple: [Yorkshire, borders, 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 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.
  • C. Northumberland
    Northumberland is a historic and largely rural county in northeast England, known for its rugged coastline, medieval castles, and significant Roman heritage.
  • D. Northumberland
    Northumberland is a small rural town in Saratoga County, New York, known for its agricultural character and proximity to the Hudson River.
  • E. Cumbria
    Cumbria is a largely rural county in North West England known for its dramatic landscapes, including most of the Lake District National Park.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc10f9b508190bde4a4e4711dd452 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402fcc5f481909c66319f75a8dc85 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:22 p.m.