Triple

T22020041
Position Surface form Disambiguated ID Type / Status
Subject Gower E543819 entity
Predicate contains P35 FINISHED
Object Llangennith 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: Llangennith | Statement: [Gower, contains, Llangennith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llangennith
Context triple: [Gower, contains, Llangennith]
  • A. Llangennith chosen
    Llangennith is a coastal village in southwest Wales known for its expansive sandy beach and popular surfing conditions.
  • B. Llangennech
    Llangennech is a village in Carmarthenshire, Wales, situated near the Loughor estuary and known for its historic links to coal mining and the Llanelli area.
  • C. 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.
  • D. Llanymynech
    Llanymynech is a village on the England–Wales border known for its historic limestone quarrying and canal heritage.
  • E. Llanwern
    Llanwern is a village and community in the city of Newport, South Wales, historically known for its large steelworks and rural surroundings.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c6b5fc8190bc49ddb058f28a44 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:23 p.m.