Triple

T2421800
Position Surface form Disambiguated ID Type / Status
Subject Denbighshire E53434 entity
Predicate hasAdministrativeCentre P1474 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: [Denbighshire, hasAdministrativeCentre, Ruthin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruthin
Context triple: [Denbighshire, hasAdministrativeCentre, 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. 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.
  • 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. 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.
  • E. Tywyn
    Tywyn is a coastal town in Gwynedd, Wales, known for its sandy beaches on Cardigan Bay and proximity to the scenic Talyllyn Railway.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc971093481909c8924d58187860c completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69b53fc6f4b48190aebcf7457b6d670d completed March 14, 2026, 11 a.m.
Created at: March 6, 2026, 9:42 p.m.