Triple

T12836002
Position Surface form Disambiguated ID Type / Status
Subject River Conwy E306914 entity
Predicate passesThrough P225 FINISHED
Object Conwy E294087 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: Conwy | Statement: [River Conwy, passesThrough, Conwy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conwy
Context triple: [River Conwy, passesThrough, Conwy]
  • A. Conwy chosen
    Conwy is a county borough in north Wales known for its historic walled town, medieval castle, and scenic coastal and mountainous landscapes.
  • B. Ffestiniog
    Ffestiniog is a historic town in north Wales, known for its slate quarrying heritage and proximity to the scenic landscapes of Snowdonia.
  • C. Deganwy
    Deganwy is a coastal village in Conwy County Borough, Wales, situated on the Conwy estuary opposite Conwy and near the resort town of Llandudno.
  • D. Tynewydd
    Tynewydd is a small village in the Rhondda Valley of South Wales, historically associated with coal mining communities near Treherbert.
  • E. Maentwrog
    Maentwrog is a small historic village in Gwynedd, North Wales, known for its scenic setting in the Vale of Ffestiniog and its proximity to the River Dwyryd.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff015f4819090070a01f3938acc completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b9bb0b48190ba3f9f92d270db83 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:35 p.m.