Triple

T18698990
Position Surface form Disambiguated ID Type / Status
Subject Hafren Forest E457196 entity
Predicate near P350 FINISHED
Object Plynlimon 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: Plynlimon | Statement: [Hafren Forest, near, Plynlimon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plynlimon
Context triple: [Hafren Forest, near, Plynlimon]
  • A. Plynlimon chosen
    Plynlimon is a massif in central Wales known as the mountainous area where several major rivers, including the River Severn, have their headwaters.
  • B. Dyffryn Mymbyr
    Dyffryn Mymbyr is a scenic valley in Snowdonia, North Wales, known for its picturesque lakes and dramatic mountain surroundings.
  • C. Ynyshir
    Ynyshir is a village in the Rhondda Valley of Rhondda Cynon Taf, Wales, historically associated with coal mining and the development of the South Wales Valleys.
  • D. Bryn Tail
    Bryn Tail is a small settlement located near the Clywedog Reservoir in Powys, mid Wales.
  • E. Moydodyr
    Moydodyr is a famous Soviet children's fairy-tale poem and character—a living washstand—created by Korney Chukovsky to teach kids about cleanliness and hygiene.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562ea4ee48190b18a29553371f31a completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.