Triple

T17016416
Position Surface form Disambiguated ID Type / Status
Subject Crown Court at Mold E412831 entity
Predicate regionServed P82 FINISHED
Object North Wales E59105 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: North Wales | Statement: [Crown Court at Mold, regionServed, North Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Wales
Context triple: [Crown Court at Mold, regionServed, North Wales]
  • A. North Wales chosen
    North Wales is a mountainous and coastal region of Wales known for its rugged landscapes, historic castles, and the popular tourist destination of Snowdonia National Park.
  • B. north-west Wales
    North-west Wales is a coastal and mountainous region of Wales known for its rugged landscapes, Welsh-speaking communities, and proximity to Snowdonia National Park.
  • C. Mid Wales
    Mid Wales is a sparsely populated, predominantly rural region of central Wales known for its upland landscapes, market towns, and Welsh-speaking communities.
  • D. South Wales
    South Wales is a region of Wales in the United Kingdom known for its major cities like Cardiff and Swansea, rich industrial heritage, and distinctive Welsh culture and landscapes.
  • E. north-east Wales
    North-east Wales is a region of Wales encompassing several counties, including Denbighshire, known for its mix of historic towns, rural landscapes, and proximity to the English border.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47fec248190bf261cac920291b1 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ec9611c8190a773beef59b39110 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:33 a.m.