Triple

T18698955
Position Surface form Disambiguated ID Type / Status
Subject Clywedog Reservoir E457195 entity
Predicate region P40 FINISHED
Object Montgomeryshire NE NERFINISHED

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: Montgomeryshire | Statement: [Clywedog Reservoir, region, Montgomeryshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montgomeryshire
Context triple: [Clywedog Reservoir, region, Montgomeryshire]
  • A. Montgomeryshire chosen
    Montgomeryshire is a historic county and former parliamentary constituency in mid-Wales, known for its rural landscape and market towns such as Newtown and Welshpool.
  • B. Glamorganshire
    Glamorganshire was a historic county in south Wales that included industrial towns, rural areas, and much of what is now the modern county of Glamorgan.
  • C. Carmarthenshire
    Carmarthenshire is a largely rural county in southwest Wales known for its market towns, rich agricultural land, and scenic landscapes stretching from the Tywi Valley to the Carmarthen Bay coast.
  • D. Monmouthshire
    Monmouthshire is a historic county and principal area in southeast Wales, known for its rural landscapes, market towns, and rich medieval heritage.
  • E. Powys
    Powys is a large, predominantly rural county in mid-Wales known for its mountainous landscapes, market towns, and extensive agricultural areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562ea4ee48190b18a29553371f31a completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.