Triple

T11869180
Position Surface form Disambiguated ID Type / Status
Subject Lake Vyrnwy E282361 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Llanwddyn E401685 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: Llanwddyn | Statement: [Lake Vyrnwy, hasNearbySettlement, Llanwddyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llanwddyn
Context triple: [Lake Vyrnwy, hasNearbySettlement, Llanwddyn]
  • A. Llanwddyn chosen
    Llanwddyn is a small village in Powys, Wales, best known for its relocation during the late 19th century to make way for the creation of Lake Vyrnwy reservoir.
  • B. Llanfyllin
    Llanfyllin is a small historic market town in Powys, Wales, known for its rural setting near the Berwyn Mountains and its traditional Welsh character.
  • C. Llanwern
    Llanwern is a village and community in the city of Newport, South Wales, historically known for its large steelworks and rural surroundings.
  • D. Llanwnda
    Llanwnda is a small village and community in Gwynedd, Wales, known for its rural setting and historical connections to notable Welsh figures such as William Madocks.
  • E. Llanelltyd
    Llanelltyd is a small historic village in Gwynedd, Wales, known for its scenic setting near Dolgellau and the ruins of Cymer Abbey.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73c04e4819084c0b2ff8e5d2f04 completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fde158a5a48190b3945945f94f97a0 completed May 8, 2026, 1:12 p.m.
Created at: April 8, 2026, 9:43 p.m.