Triple

T15714672
Position Surface form Disambiguated ID Type / Status
Subject City and County of Cardiff E380930 entity
Predicate contains P35 FINISHED
Object Llanrumney E395211 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: Llanrumney | Statement: [City and County of Cardiff, contains, Llanrumney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llanrumney
Context triple: [City and County of Cardiff, contains, Llanrumney]
  • A. Llanrumney chosen
    Llanrumney is a suburban district and community in the east of Cardiff, Wales, known primarily as a residential area with local amenities and green spaces.
  • B. Llanwern
    Llanwern is a village and community in the city of Newport, South Wales, historically known for its large steelworks and rural surroundings.
  • C. Llanharan
    Llanharan is a village and community in Rhondda Cynon Taf, South Wales, known historically for its coal mining heritage and served by a railway station on the South Wales Main Line.
  • D. Llanymynech
    Llanymynech is a village on the England–Wales border known for its historic limestone quarrying and canal heritage.
  • E. Llanrug
    Llanrug is a village and community in Gwynedd, northwest Wales, situated near Caernarfon and known for its Welsh-speaking population and scenic rural surroundings.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f90aea0819082a9e9fe0f7780b0 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7581302c8190918266f04bcf2231 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.