Triple

T10382111
Position Surface form Disambiguated ID Type / Status
Subject Plas Newydd E244665 entity
Predicate locatedNear P294 FINISHED
Object Bangor, Gwynedd E266539 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: Bangor, Gwynedd | Statement: [Plas Newydd, locatedNear, Bangor, Gwynedd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangor, Gwynedd
Context triple: [Plas Newydd, locatedNear, Bangor, Gwynedd]
  • A. Bangor chosen
    Bangor is a historic cathedral city in northwest Wales, known for its university and scenic location near the Menai Strait.
  • B. Bangor
    Bangor is a coastal town in Northern Ireland known for its marina, seaside resort heritage, and role as a commuter hub for nearby Belfast.
  • C. Bangor, County Down
    Bangor, County Down is a coastal town in Northern Ireland known as a seaside resort and commuter hub near Belfast.
  • D. Caernarfon, Gwynedd
    Caernarfon, Gwynedd is a historic town in northwest Wales famed for its medieval castle and strong royal connections.
  • E. Connah's Quay
    Connah's Quay is a large industrial town and community on the River Dee in north-east Wales, known for its port, power station, and role as a residential and commercial hub in Flintshire.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e992d8e08190aaa9a04925f52ccc completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79592512c8190b999191f16e3133c completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:04 p.m.