Triple

T22548754
Position Surface form Disambiguated ID Type / Status
Subject Kilgetty E557500 entity
Predicate locatedIn P40 FINISHED
Object South West Wales NE NERFINISHED

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: [Kilgetty, locatedIn, South West Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South West Wales
Context triple: [Kilgetty, locatedIn, 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 (2 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f372df48190ae5dd461b1230bc7 completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:52 p.m.