Triple

T5928359
Position Surface form Disambiguated ID Type / Status
Subject River Crake E131870 entity
Predicate flowsThrough P225 FINISHED
Object south Cumbria E14179 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: south Cumbria | Statement: [River Crake, flowsThrough, south Cumbria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: south Cumbria
Context triple: [River Crake, flowsThrough, south Cumbria]
  • A. Cumbria chosen
    Cumbria is a largely rural county in North West England known for its dramatic landscapes, including most of the Lake District National Park.
  • B. North Lancashire
    North Lancashire was a former UK parliamentary constituency in the historic county of Lancashire, represented in the House of Commons during the 19th century.
  • C. Deeside
    Deeside is an industrial and residential area in northeast Wales, known for its manufacturing facilities and communities along the River Dee.
  • D. Westmorland and Furness
    Westmorland and Furness is a unitary authority area in Cumbria, England, formed in 2023 as part of local government reorganization.
  • E. Cumbria County Council
    Cumbria County Council was the former upper-tier local authority responsible for providing county-wide services such as education, transport, and social care across Cumbria in North West England.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038571d108190b4f3d242c068452f completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c059b08c8190aec3a8ee0119abed completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.