Triple

T5751009
Position Surface form Disambiguated ID Type / Status
Subject Llanrhidian E126850 entity
Predicate administrativeArea P8215 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: [Llanrhidian, administrativeArea, Swansea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swansea
Context triple: [Llanrhidian, administrativeArea, Swansea]
  • A. Swansea
    Swansea is a coastal town in Bristol County, Massachusetts, known for its suburban character and proximity to both Providence and Fall River.
  • B. 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.
  • C. Cardiff
    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.
  • D. Haverfordwest
    Haverfordwest is a historic market town in southwest Wales that serves as the principal commercial and administrative centre of Pembrokeshire.
  • E. Southampton
    Southampton is a major port city on England’s south coast, historically significant for its maritime trade, shipbuilding, and role as a departure point for transatlantic voyages.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288a0ea8819091ac6f965471ceee completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e3a50b88190a943b2d91d3c5b8e completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.