Triple

T19696730
Position Surface form Disambiguated ID Type / Status
Subject Killay South ward E472979 entity
Predicate locatedIn P40 FINISHED
Object Swansea, Wales NE NERFINISHED

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: Swansea, Wales | Statement: [Killay South ward, locatedIn, Swansea, Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swansea, Wales
Context triple: [Killay South ward, locatedIn, Swansea, Wales]
  • A. Swansea chosen
    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.
  • B. Swansea
    Swansea is a coastal town in Bristol County, Massachusetts, known for its suburban character and proximity to both Providence and Fall River.
  • C. Swansea
    Swansea is a coastal electoral district in the New South Wales Legislative Assembly, centered around the Lake Macquarie and Swansea Channel region of Australia.
  • D. Pembroke, Wales
    Pembroke, Wales is a historic market town in southwest Wales known for its impressive medieval Pembroke Castle, the birthplace of King Henry VII.
  • E. Newport, Wales
    Newport, Wales is a historic industrial city and port in southeast Wales situated on the River Usk near its confluence with the Severn Estuary.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6421527b08190858788265043792d completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.