Triple

T964046
Position Surface form Disambiguated ID Type / Status
Subject Usk E20796 entity
Predicate region P40 FINISHED
Object South Wales E87217 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 Wales | Statement: [Usk, region, South Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Wales
Context triple: [Usk, region, South Wales]
  • A. South Wales chosen
    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.
  • B. South East Wales
    South East Wales is a region of Wales encompassing major urban centers like Cardiff and Newport along with surrounding towns and rural communities.
  • C. South Wales Valleys
    The South Wales Valleys are a series of steep-sided former coal-mining valleys in south Wales, known for their industrial heritage, close-knit communities, and distinctive cultural identity.
  • D. West Wales
    West Wales is a predominantly rural region of western Wales known for its rugged coastline, historic towns, and strong Welsh cultural and linguistic heritage.
  • E. North Wales
    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.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b4303e5881909d101d11f9732c75 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac9968ff4c81909e8e454b7e1e9137 completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:40 p.m.