Triple

T997843
Position Surface form Disambiguated ID Type / Status
Subject Blaenau Gwent E21534 entity
Predicate hasOfficialLanguage P236 FINISHED
Object Welsh E61316 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: Welsh | Statement: [Blaenau Gwent, hasOfficialLanguage, Welsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Welsh
Context triple: [Blaenau Gwent, hasOfficialLanguage, Welsh]
  • A. Welsh chosen
    Welsh is a Celtic language native to Wales, known for its rich literary tradition and status as one of the oldest living languages in Europe.
  • B. Jèrriais
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • C. Dyfed
    Dyfed is a historic county and former administrative region in southwest Wales, encompassing the areas of Pembrokeshire, Carmarthenshire, and Ceredigion.
  • D. Wales
    Wales is a country on the western side of Great Britain, known for its distinct Celtic culture, Welsh language, mountainous national parks, and historic castles.
  • E. Meirionnydd
    Meirionnydd is a historic region in northwest Wales known for its rugged landscapes, Welsh-speaking communities, and inclusion of parts of Snowdonia.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4e0f0d081908b888c246d001786 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a18db488190bf7d604fe6a33b9e completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:41 p.m.