Triple

T16526682
Position Surface form Disambiguated ID Type / Status
Subject Keeping Faith E401457 entity
Predicate filmingLocation P40 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: [Keeping Faith, filmingLocation, Laugharne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laugharne
Context triple: [Keeping Faith, filmingLocation, 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. Rhosneigr
    Rhosneigr is a coastal village on the Isle of Anglesey in Wales, known for its sandy beaches, water sports, and scenic seaside character.
  • E. Hafod
    Hafod is an inner-city district of Swansea in South Wales, historically known for its industrial heritage and proximity to the River Tawe.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed4b8a08190b5f179fc583001a6 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608d36dc8190a094fa4513147c85 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.