Triple

T13740488
Position Surface form Disambiguated ID Type / Status
Subject South Wales Metro E330071 entity
Predicate includesTown P847 FINISHED
Object Penarth E72442 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: Penarth | Statement: [South Wales Metro, includesTown, Penarth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penarth
Context triple: [South Wales Metro, includesTown, Penarth]
  • A. Penarth chosen
    Penarth is a seaside town in the Vale of Glamorgan, Wales, known for its Victorian pier, esplanade, and role as a filming location for various British television series.
  • B. Sandown
    Sandown is a seaside resort town on the southeast coast of England’s Isle of Wight, known for its sandy beach and traditional holiday attractions.
  • C. Sandown
    Sandown is an affluent commercial and residential suburb within Sandton, Johannesburg, known for its proximity to major business districts and shopping centers.
  • D. Gorseinon
    Gorseinon is a suburban town in South Wales known for its community amenities and proximity to Swansea.
  • E. Penarth Marina
    Penarth Marina is a modern waterfront marina and residential development located in Penarth, near Cardiff in South Wales.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0206a4b88190a60914e2b43e54f9 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcd08a3a1481908400e3e55bf38aac completed May 7, 2026, 5:48 p.m.
Created at: April 9, 2026, 9:55 p.m.