Triple

T697049
Position Surface form Disambiguated ID Type / Status
Subject Montgomeryshire E13915 entity
Predicate containsSettlement P847 FINISHED
Object Machynlleth E103746 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: Machynlleth | Statement: [Montgomeryshire, containsSettlement, Machynlleth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Machynlleth
Context triple: [Montgomeryshire, containsSettlement, Machynlleth]
  • A. Machynlleth chosen
    Machynlleth is a historic market town in mid Wales, known for its role as the seat of Owain Glyndŵr’s Welsh Parliament and its strong cultural and environmental focus.
  • B. Llanidloes
    Llanidloes is a historic market town in mid Wales, known as one of the principal settlements of the former county of Montgomeryshire and as a gateway to the scenic Cambrian Mountains.
  • C. Cwmbran
    Cwmbran is a large new town in South Wales known for its extensive shopping centre and post-war planned development.
  • D. Abergavenny
    Abergavenny is a historic market town in Monmouthshire, Wales, known as a gateway to the Brecon Beacons and for its annual food festival.
  • E. Aberystwyth
    Aberystwyth is a historic seaside and university town on the west coast of Wales, known for its promenade, castle ruins, and role as a cultural and administrative center for the region.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0c8055881909565ebde2be8fd7a completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf498af4819085d494f85adf0825 completed March 4, 2026, 6:20 a.m.
Created at: March 1, 2026, 7:36 p.m.