Triple

T10629232
Position Surface form Disambiguated ID Type / Status
Subject Mid Wales E250407 entity
Predicate locatedIn P40 FINISHED
Object central 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: central Wales | Statement: [Mid Wales, locatedIn, central Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Wales
Context triple: [Mid Wales, locatedIn, central 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 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. 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-east Wales
    North-east Wales is a region of Wales encompassing several counties, including Denbighshire, known for its mix of historic towns, rural landscapes, and proximity to the English border.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df92f8388190a8bcff96809d8eb4 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6f0eee08190b4187671356e47ca completed April 12, 2026, 3:14 p.m.
Created at: April 8, 2026, 9 p.m.