Triple

T16627265
Position Surface form Disambiguated ID Type / Status
Subject Robert, 1st Earl of Gloucester E403981 entity
Predicate lordship P47636 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: [Robert, 1st Earl of Gloucester, lordship, Glamorgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glamorgan
Context triple: [Robert, 1st Earl of Gloucester, lordship, 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e2683481908c9a5ed895a09a6e completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2b3a608190ad8d2b653cd8785d completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:17 a.m.