Triple

T2538167
Position Surface form Disambiguated ID Type / Status
Subject A487 road E56319 entity
Predicate passesThrough P225 FINISHED
Object mid Wales E250407 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: mid Wales | Statement: [A487 road, passesThrough, mid Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: mid Wales
Context triple: [A487 road, passesThrough, mid Wales]
  • A. Mid Wales chosen
    Mid Wales is a sparsely populated, predominantly rural region of central Wales known for its upland landscapes, market towns, and Welsh-speaking communities.
  • 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. 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.
  • 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. 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.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd298fc2481908b2925bf6a06532b completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af839849288190a6ddf488f3f69203 completed March 10, 2026, 2:36 a.m.
Created at: March 6, 2026, 9:47 p.m.