Triple

T10001462
Position Surface form Disambiguated ID Type / Status
Subject Llandovery E197336 entity
Predicate region P40 FINISHED
Object South West Wales E26166 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 West Wales | Statement: [Llandovery, region, South West Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South West Wales
Context triple: [Llandovery, region, South West Wales]
  • A. West Wales chosen
    West Wales is a predominantly rural region of western Wales known for its rugged coastline, historic towns, and strong Welsh cultural and linguistic heritage.
  • 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
    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.
  • 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. 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8f50888190b2f1c5240cb58e4f completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794653a948190899e60d18446213a completed April 9, 2026, 11:58 a.m.
Created at: March 30, 2026, 8:51 p.m.