Triple
T10271522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Y Llethr |
E240845
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Rhinog Fach |
E245124
|
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 Fach | Statement: [Y Llethr, hasViewOf, Rhinog Fach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhinog Fach Context triple: [Y Llethr, hasViewOf, Rhinog Fach]
-
A.
Rhinog Fach
chosen
Rhinog Fach is a rugged, rocky mountain in the Rhinogydd range of Snowdonia, Wales, known for its challenging terrain and scenic views.
-
B.
Rhinog Fawr
Rhinog Fawr is a rugged, rocky mountain in Snowdonia, Wales, known for its challenging terrain and prominent summit within the Rhinogydd range.
-
C.
Rhu
Rhu is a coastal village in Argyll and Bute, Scotland, situated on the shores of Gare Loch and known for its marina and scenic waterfront.
-
D.
Blorenge
Blorenge is a prominent hill in Monmouthshire, Wales, known for its sweeping views over the Usk Valley and the nearby town of Abergavenny.
-
E.
Glaslyn
Glaslyn is a small glacial lake nestled high on the eastern slopes of Mount Snowdon in Snowdonia, Wales, known for its striking blue-green waters and dramatic mountain scenery.
- 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_69d7fb440b9c81909db46299053e11da |
completed | April 9, 2026, 7:17 p.m. |
Created at: April 6, 2026, 11:35 a.m.