Triple

T16548385
Position Surface form Disambiguated ID Type / Status
Subject Mount Pleasant, Swansea E402006 entity
Predicate proximityTo P350 FINISHED
Object Swansea city centre 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 city centre | Statement: [Mount Pleasant, Swansea, proximityTo, Swansea city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swansea city centre
Context triple: [Mount Pleasant, Swansea, proximityTo, Swansea city centre]
  • 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. Swansea Heads
    Swansea Heads is a coastal suburb in New South Wales, Australia, known for its headland position at the entrance to Lake Macquarie and its scenic ocean and channel views.
  • D. Swansea Enterprise Park
    Swansea Enterprise Park is a major commercial and retail area in Swansea, Wales, featuring a mix of business premises, shops, and light industrial units.
  • E. Cardiff-by-the-Sea
    Cardiff-by-the-Sea is a laid-back coastal community in northern San Diego County known for its beaches, surf culture, and small-town charm.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fbf79048190b761008441762374 completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c794355881908fdec356d12a5635 completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 5:15 a.m.