Triple

T16655129
Position Surface form Disambiguated ID Type / Status
Subject Gorseinon E404707 entity
Predicate postTown P2711 FINISHED
Object SWANSEA E19285 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: SWANSEA | Statement: [Gorseinon, postTown, SWANSEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SWANSEA
Context triple: [Gorseinon, postTown, SWANSEA]
  • 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 W.
    Swansea W. is the standard abbreviated form of the Swansea West parliamentary constituency in the United Kingdom.
  • D. Swansea City A.F.C.
    Swansea City A.F.C. is a Welsh professional football club known for its possession-based playing style and for becoming the first Welsh team to compete in the English Premier League.
  • E. Neath Port Talbot
    Neath Port Talbot is a county borough in south Wales known for its industrial heritage, coastal landscapes, and the town of Neath.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bfa45d8819081bf8579a7160389 completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00918e61ac8190a01baf353a6a745c completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:18 a.m.