Triple

T6516261
Position Surface form Disambiguated ID Type / Status
Subject White Castle E148270 entity
Predicate partOf P40 FINISHED
Object Welsh Marches E142114 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: Welsh Marches | Statement: [White Castle, partOf, Welsh Marches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Welsh Marches
Context triple: [White Castle, partOf, Welsh Marches]
  • A. Welsh Marches chosen
    The Welsh Marches is the historically contested border region between England and Wales, known for its medieval marcher lordships, castles, and distinctive frontier culture.
  • B. Wales & Borders
    Wales & Borders was a former British train operating company that provided regional and intercity passenger rail services across Wales and into neighboring parts of England.
  • C. Breconshire
    Breconshire is a historic county in south-central Wales, known for its rural landscapes and parts of the Brecon Beacons mountain range.
  • D. 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.
  • E. 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.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0d395081908fe6b1f9a912f095 completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5156e848190a6616497708d421c completed March 27, 2026, 7:05 p.m.
Created at: March 27, 2026, 1:44 p.m.