Triple

T15714637
Position Surface form Disambiguated ID Type / Status
Subject City and County of Cardiff E380930 entity
Predicate shortName P43 FINISHED
Object Cardiff E12034 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: Cardiff | Statement: [City and County of Cardiff, shortName, Cardiff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cardiff
Context triple: [City and County of Cardiff, shortName, Cardiff]
  • A. Cardiff chosen
    Cardiff is the capital and largest city of Wales, known as a major cultural, commercial, and sporting center with a rich industrial and maritime history.
  • B. Cardiff
    Cardiff is an unincorporated community and census-designated place within Egg Harbor Township in Atlantic County, New Jersey, known primarily as a suburban residential area with local commercial development.
  • C. Swansea
    Swansea is a coastal city in South Wales known for its maritime heritage, industrial history, and role as a target during World War II air raids.
  • D. Swansea
    Swansea is a coastal town in Bristol County, Massachusetts, known for its suburban character and proximity to both Providence and Fall River.
  • E. Glasgwm
    Glasgwm is a mountain in southern Snowdonia, Wales, known for its rugged terrain and scenic views within the Aran range.
  • 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.