Triple

T6451880
Position Surface form Disambiguated ID Type / Status
Subject Lampeter E139886 entity
Predicate locatedIn P40 FINISHED
Object 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: West Wales | Statement: [Lampeter, locatedIn, West Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West Wales
Context triple: [Lampeter, locatedIn, 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 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.
  • C. 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.
  • D. Mid Wales
    Mid Wales is a sparsely populated, predominantly rural region of central Wales known for its upland landscapes, market towns, and Welsh-speaking communities.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069b62cbc81908b7f1a0dc1ed3e1d completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e40c193c8190b4d7acd4530121f0 completed March 27, 2026, 8:09 p.m.
Created at: March 22, 2026, 4:47 p.m.