Triple

T18886625
Position Surface form Disambiguated ID Type / Status
Subject Dyfed–Powys Police E461972 entity
Predicate hasCallSign P1565 FINISHED
Object Dyfed–Powys 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: Dyfed–Powys | Statement: [Dyfed–Powys Police, hasCallSign, Dyfed–Powys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dyfed–Powys
Context triple: [Dyfed–Powys Police, hasCallSign, Dyfed–Powys]
  • A. Dyfed chosen
    Dyfed is a historic county and former administrative region in southwest Wales, encompassing the areas of Pembrokeshire, Carmarthenshire, and Ceredigion.
  • B. Gwynedd
    Gwynedd is a county and preserved lieutenancy area in north-west Wales known for its rugged coastline, mountains including much of Snowdonia, and strong Welsh language and cultural heritage.
  • C. Powys
    Powys is a large, predominantly rural county in mid-Wales known for its mountainous landscapes, market towns, and extensive agricultural areas.
  • D. South Wales Marches
    The South Wales Marches were a historically contested border region between England and Wales, characterized by powerful marcher lordships and frequent medieval conflict.
  • E. Merionethshire
    Merionethshire is a historic county in northwest Wales known for its rugged mountainous landscapes and rural character.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c4760d808190b502c4ed1f24424c completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.