Triple

T6630631
Position Surface form Disambiguated ID Type / Status
Subject Llangollen Vale E149913 entity
Predicate setting P1957 FINISHED
Object Llangollen E412030 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: Llangollen | Statement: [Llangollen Vale, setting, Llangollen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llangollen
Context triple: [Llangollen Vale, setting, Llangollen]
  • A. Llangollen chosen
    Llangollen is a picturesque town in northeast Wales known for its scenic River Dee setting, historic bridge and abbey, and the annual Llangollen International Musical Eisteddfod.
  • B. Llangennith
    Llangennith is a coastal village in southwest Wales known for its expansive sandy beach and popular surfing conditions.
  • C. Llanbedr
    Llanbedr is a small village in north-west Wales known for its scenic setting near the Snowdonia mountains and the coast, as well as its nearby former RAF airfield.
  • D. 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.
  • 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 (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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa5c9b48190b645be96d446d0ca completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbeef9f48190aea2e97a1f8735ee completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:59 p.m.