Triple

T14090351
Position Surface form Disambiguated ID Type / Status
Subject north-east Wales E339111 entity
Predicate hasHistoricTown P847 FINISHED
Object Ruthin E234980 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: Ruthin | Statement: [north-east Wales, hasHistoricTown, Ruthin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruthin
Context triple: [north-east Wales, hasHistoricTown, Ruthin]
  • A. Ruthin chosen
    Ruthin is a historic market town in Denbighshire, north Wales, known for its medieval architecture and hilltop location in the Vale of Clwyd.
  • B. Conwy town
    Conwy town is a historic walled market town and seaside resort in North Wales, known for its medieval castle and well-preserved fortifications.
  • C. 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.
  • D. Bodelwyddan
    Bodelwyddan is a village in Denbighshire, North Wales, known for its strategic location near the A55 and landmarks such as Bodelwyddan Castle.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee3213c8190af2853a2a5b302a2 completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffe46175b88190ae687073ddaa3d22 completed May 10, 2026, 1:50 a.m.
Created at: April 9, 2026, 10:21 p.m.