Triple

T15981218
Position Surface form Disambiguated ID Type / Status
Subject Pendoylan E387579 entity
Predicate historicCounty 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: [Pendoylan, historicCounty, Glamorgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glamorgan
Context triple: [Pendoylan, historicCounty, 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. Glamorganshire
    Glamorganshire was a historic county in south Wales that included industrial towns, rural areas, and much of what is now the modern county of Glamorgan.
  • C. West Glamorgan
    West Glamorgan is a former county in south Wales that included industrial and coastal towns such as Swansea and Port Talbot.
  • D. Monmouthshire
    Monmouthshire is a historic county and principal area in southeast Wales, known for its rural landscapes, market towns, and rich medieval heritage.
  • E. 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.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15754e8648190a93b73184db089a7 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cb0ed48190b35c19f3961f183b completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.