Triple
T10629247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mid Wales |
E250407
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Plynlimon |
E43731
|
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: Plynlimon | Statement: [Mid Wales, contains, Plynlimon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plynlimon Context triple: [Mid Wales, contains, 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.
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.
-
C.
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.
-
D.
Cwm
Cwm is a village in the Ebbw Valley in Blaenau Gwent, South Wales, historically associated with coal mining and the South Wales Valleys communities.
-
E.
Blaina
Blaina is a small former coal-mining town in the county borough of Blaenau Gwent in South Wales.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df92f8388190a8bcff96809d8eb4 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23b1c5e4c81909628c77b80805353 |
completed | April 17, 2026, 1:52 p.m. |
Created at: April 8, 2026, 9 p.m.