Triple

T19897897
Position Surface form Disambiguated ID Type / Status
Subject Llangynwyd E478199 entity
Predicate hasNameInWelsh P13076 FINISHED
Object Llangynwyd 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: Llangynwyd | Statement: [Llangynwyd, hasNameInWelsh, Llangynwyd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llangynwyd
Context triple: [Llangynwyd, hasNameInWelsh, Llangynwyd]
  • A. Llangynwyd chosen
    Llangynwyd is a historic village and community in Bridgend County Borough, Wales, known for its medieval church and traditional Welsh cultural heritage.
  • B. Llangrannog
    Llangrannog is a small seaside village on the west coast of Wales, known for its sandy beach, coastal scenery, and popularity with holidaymakers and walkers.
  • C. Llanfynydd
    Llanfynydd is a small rural village in Flintshire, Wales, known for its scenic countryside setting and traditional Welsh character.
  • D. Llangennith
    Llangennith is a coastal village in southwest Wales known for its expansive sandy beach and popular surfing conditions.
  • E. Llanwddyn
    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.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593ef8dc8190be5b64988eceafac completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.