Triple

T4774272
Position Surface form Disambiguated ID Type / Status
Subject Dylan Thomas E106005 entity
Predicate residence P75 FINISHED
Object Laugharne E468866 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: Laugharne | Statement: [Dylan Thomas, residence, Laugharne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laugharne
Context triple: [Dylan Thomas, residence, Laugharne]
  • A. Laugharne chosen
    Laugharne is a small coastal town in Carmarthenshire, Wales, best known for its association with poet Dylan Thomas, who lived and is buried there.
  • B. Laugharne Castle
    Laugharne Castle is a picturesque medieval fortress and later Tudor mansion in the town of Laugharne, Wales, famed for its estuary views and literary associations with Dylan Thomas.
  • C. Beaumaris
    Beaumaris is a historic seaside town in Wales best known for its impressive medieval castle and picturesque setting on the Isle of Anglesey.
  • D. Hafod
    Hafod is an inner-city district of Swansea in South Wales, historically known for its industrial heritage and proximity to the River Tawe.
  • 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6560b3448190a0debbd8da29d986 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d8e724c8190bfca713d5d022be6 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:21 p.m.