Triple

T7319626
Position Surface form Disambiguated ID Type / Status
Subject County of Glamorgan E168504 entity
Predicate hasTown P847 FINISHED
Object Aberdare E97367 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: Aberdare | Statement: [County of Glamorgan, hasTown, Aberdare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aberdare
Context triple: [County of Glamorgan, hasTown, Aberdare]
  • A. Aberdare chosen
    Aberdare is a town in the Cynon Valley of Rhondda Cynon Taf, Wales, historically known for its coal mining and ironworks industries.
  • B. Torresdale
    Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
  • C. Kearsley
    Kearsley is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
  • D. Duffield
    Duffield is a village and civil parish in Derbyshire, England, situated north of Derby on the River Derwent.
  • E. Kineton
    Kineton is a village in Warwickshire, England, known for its proximity to the historic Edgehill battlefield of the English Civil War.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef1a7a3c81909504eb711056f302 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eefcd7148190818d581cbde9aff1 completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:02 p.m.