Triple

T5226605
Position Surface form Disambiguated ID Type / Status
Subject Taibach E118003 entity
Predicate hasNeighbouringArea P17964 FINISHED
Object Margam E113967 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: Margam | Statement: [Taibach, hasNeighbouringArea, Margam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margam
Context triple: [Taibach, hasNeighbouringArea, Margam]
  • A. Margam chosen
    Margam is a village and community in South Wales known for its historic Margam Abbey and the expansive Margam Country Park and Castle.
  • B. Whitland
    Whitland is a small market town in Carmarthenshire, southwest Wales, known historically for its nearby Cistercian abbey and its role as a local agricultural and transport hub.
  • 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. Rhos-on-Sea
    Rhos-on-Sea is a small seaside resort and coastal community in North Wales known for its promenade, beach, and historic sites.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7adc9be081909903b9f844c3d146 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe5e0d4c819095ea8b185754394e completed March 21, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:48 p.m.