Triple

T15714662
Position Surface form Disambiguated ID Type / Status
Subject City and County of Cardiff E380930 entity
Predicate contains P35 FINISHED
Object Grangetown E786915 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: Grangetown | Statement: [City and County of Cardiff, contains, Grangetown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grangetown
Context triple: [City and County of Cardiff, contains, Grangetown]
  • A. Grangetown
    Grangetown is an industrial and residential area in North Yorkshire, England, situated near Middlesbrough within the borough of Redcar and Cleveland.
  • B. Grangetown chosen
    Grangetown is a densely populated, ethnically diverse inner-city district of Cardiff, Wales, known for its Victorian and Edwardian housing and proximity to the city centre and Cardiff Bay.
  • C. Butetown
    Butetown is a historic and culturally diverse inner-city district of Cardiff, Wales, known for its docks heritage and multicultural community.
  • D. Blaenymaes
    Blaenymaes is a residential area and housing estate located within the City and County of Swansea in South Wales.
  • E. Cardiff-by-the-Sea
    Cardiff-by-the-Sea is a laid-back coastal community in northern San Diego County known for its beaches, surf culture, and small-town charm.
  • 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.