Triple
T10271529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Y Llethr |
E240845
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Meirionnydd |
E55635
|
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: Meirionnydd | Statement: [Y Llethr, region, Meirionnydd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meirionnydd Context triple: [Y Llethr, region, Meirionnydd]
-
A.
Meirionnydd
chosen
Meirionnydd is a historic region in northwest Wales known for its rugged landscapes, Welsh-speaking communities, and inclusion of parts of Snowdonia.
-
B.
Tynewydd
Tynewydd is a small village in the Rhondda Valley of South Wales, historically associated with coal mining communities near Treherbert.
-
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.
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.
-
E.
Penygroes
Penygroes is a village in Gwynedd, Wales, historically associated with the slate quarrying industry and serving as a local community hub near Caernarfon.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d27235ec819086152771206453f2 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75001586c8190a0d4af1ff5588f0e |
completed | April 9, 2026, 7:06 a.m. |
Created at: April 6, 2026, 11:35 a.m.