Triple

T2219201
Position Surface form Disambiguated ID Type / Status
Subject Barmouth E48101 entity
Predicate locatedNear P294 FINISHED
Object Dolgellau E48935 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: Dolgellau | Statement: [Barmouth, locatedNear, Dolgellau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dolgellau
Context triple: [Barmouth, locatedNear, Dolgellau]
  • A. Dolgellau chosen
    Dolgellau is a historic market town in Gwynedd, Wales, known for its stone buildings, former woollen industry, and scenic location near the southern edge of Snowdonia National Park.
  • B. Tywyn
    Tywyn is a coastal town in Gwynedd, Wales, known for its sandy beaches on Cardigan Bay and proximity to the scenic Talyllyn Railway.
  • C. Bodelwyddan
    Bodelwyddan is a village in Denbighshire, North Wales, known for its strategic location near the A55 and landmarks such as Bodelwyddan Castle.
  • D. Barmouth
    Barmouth is a seaside town and popular holiday resort on the west coast of Wales, known for its sandy beach and scenic location at the mouth of the Mawddach Estuary.
  • E. Beddgelert
    Beddgelert is a picturesque village in Gwynedd, Wales, known for its scenic setting in the Snowdonia National Park and its association with the legend of the faithful hound Gelert.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc011d50c8190b1c375cc633f8189 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2e7fbc76c8190a66110203d53f055 completed March 12, 2026, 4:21 p.m.
Created at: March 4, 2026, 7:46 p.m.