Triple

T20451654
Position Surface form Disambiguated ID Type / Status
Subject Sir Goronwy Daniel E501665 entity
Predicate workLocation P7 FINISHED
Object Aberystwyth NE NERFINISHED

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: Aberystwyth | Statement: [Sir Goronwy Daniel, workLocation, Aberystwyth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aberystwyth
Context triple: [Sir Goronwy Daniel, workLocation, Aberystwyth]
  • A. Aberystwyth chosen
    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.
  • B. Haverfordwest
    Haverfordwest is a historic market town in southwest Wales that serves as the principal commercial and administrative centre of Pembrokeshire.
  • C. Carmarthen
    Carmarthen is a historic market town in southwest Wales, often regarded as one of the oldest towns in the country and traditionally linked with the legends of Merlin.
  • D. Machynlleth
    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.
  • E. Penryn
    Penryn is a historic town and former parliamentary borough in Cornwall, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68d0296ac819081e74c67d3cc6349 completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.