Triple
T10271521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Y Llethr |
E240845
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Rhinog Fawr |
E240844
|
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: Rhinog Fawr | Statement: [Y Llethr, hasViewOf, Rhinog Fawr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhinog Fawr Context triple: [Y Llethr, hasViewOf, Rhinog Fawr]
-
A.
Rhinog Fawr
chosen
Rhinog Fawr is a rugged, rocky mountain in Snowdonia, Wales, known for its challenging terrain and prominent summit within the Rhinogydd range.
-
B.
Rhinog Fach
Rhinog Fach is a rugged, rocky mountain in the Rhinogydd range of Snowdonia, Wales, known for its challenging terrain and scenic views.
-
C.
Taf Fawr
Taf Fawr is one of the principal headwater streams of the River Taff in South Wales, flowing through the Brecon Beacons before joining with other tributaries to form the main river.
-
D.
Yr Wyddfa
Yr Wyddfa is the Welsh name for Snowdon, the highest and one of the most iconic mountains in Wales and the entire British Isles.
-
E.
Foel Cwmcerwyn
Foel Cwmcerwyn is a prominent mountain in Pembrokeshire, Wales, known as the county’s highest summit and a notable viewpoint within the Preseli range.
- 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_69d794b9b1d881908c55aa50da68ae75 |
completed | April 9, 2026, 11:59 a.m. |
Created at: April 6, 2026, 11:35 a.m.