Triple

T12336049
Position Surface form Disambiguated ID Type / Status
Subject Conwy E294087 entity
Predicate contains P35 FINISHED
Object Abergele E914807 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: Abergele | Statement: [Conwy, contains, Abergele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abergele
Context triple: [Conwy, contains, Abergele]
  • A. Abergele chosen
    Abergele is a small coastal market town in North Wales known for its beaches, nearby Gwrych Castle, and position between the resorts of Colwyn Bay and Rhyl.
  • B. Aberaeron
    Aberaeron is a picturesque seaside town in west Wales, known for its colorful Georgian architecture and small harbor on Cardigan Bay.
  • C. Aberdulais
    Aberdulais is a village in South Wales known for its historic tinplate works and picturesque waterfalls on the River Neath.
  • D. Llandovery
    Llandovery is a historic market town in Carmarthenshire, Wales, known for its medieval castle ruins and role as a gateway to the Brecon Beacons.
  • E. Trembowla
    Trembowla is a historic town in western Ukraine, known for its medieval castle and its past significance within the Polish–Lithuanian Commonwealth.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f6683e881908920e1fee02a14e3 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa5f21c8190bcb32a078a2f7ebb completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.