Triple

T5134283
Position Surface form Disambiguated ID Type / Status
Subject Briton Ferry E115780 entity
Predicate historicalCounty P1069 FINISHED
Object Glamorgan E113707 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: Glamorgan | Statement: [Briton Ferry, historicalCounty, Glamorgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glamorgan
Context triple: [Briton Ferry, historicalCounty, Glamorgan]
  • A. Glamorgan chosen
    Glamorgan is a historic county in south Wales known for its industrial heritage, coal mining valleys, and major cities such as Cardiff and Swansea.
  • B. West Glamorgan
    West Glamorgan is a former county in south Wales that included industrial and coastal towns such as Swansea and Port Talbot.
  • C. Monmouthshire
    Monmouthshire is a historic county and principal area in southeast Wales, known for its rural landscapes, market towns, and rich medieval heritage.
  • D. Vale of Glamorgan
    The Vale of Glamorgan is a coastal county borough in southeast Wales known for its rural landscapes, seaside towns, and proximity to Cardiff.
  • E. Montgomeryshire
    Montgomeryshire is a historic county and former parliamentary constituency in mid-Wales, known for its rural landscape and market towns such as Newtown and Welshpool.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd784ca5ac81909f1ec7544f5bbd26 completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf186b92a48190a167a5712667809b completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:43 p.m.