Triple

T17224551
Position Surface form Disambiguated ID Type / Status
Subject Hafod E418078 entity
Predicate locatedIn P40 FINISHED
Object Swansea city centre area 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 area | Statement: [Hafod, locatedIn, Swansea city centre area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swansea city centre area
Context triple: [Hafod, locatedIn, Swansea city centre area]
  • 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. Cardiff city centre shopping district
    Cardiff city centre shopping district is the main commercial heart of Cardiff, Wales, known for its mix of modern shopping centres, pedestrianised streets, and historic arcades.
  • D. Bristol city centre
    Bristol city centre is the main commercial and cultural hub of Bristol, England, known for its shopping districts, historic harbourside, and vibrant nightlife.
  • E. 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.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddfe3bc8190b22cee4fc0590b74 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180ca18c081909ef80a4056b3dbf7 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:38 a.m.