Triple
T10400204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cwm Nantcol |
E245125
|
entity |
| Predicate | hasMountainRange |
P651
|
FINISHED |
| Object | Rhinogydd |
E47906
|
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: Rhinogydd | Statement: [Cwm Nantcol, hasMountainRange, Rhinogydd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhinogydd Context triple: [Cwm Nantcol, hasMountainRange, Rhinogydd]
-
A.
Rhinogydd
chosen
Rhinogydd is a rugged, remote mountain range in southern Snowdonia, Wales, known for its rocky terrain and challenging walking routes.
-
B.
Rhynern
Rhynern is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
-
C.
Glyderau
Glyderau is a rugged mountain range in north-west Wales known for its dramatic peaks, rocky ridges, and striking views within the Snowdonia region.
-
D.
Rhinog Fawr
Rhinog Fawr is a rugged, rocky mountain in Snowdonia, Wales, known for its challenging terrain and prominent summit within the Rhinogydd range.
-
E.
Rhinog Fach
Rhinog Fach is a rugged, rocky mountain in the Rhinogydd range of Snowdonia, Wales, known for its challenging terrain and scenic views.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9d2e8488190b2bb8f8509903804 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de54d83e44819097abf6714bd48680 |
completed | April 14, 2026, 2:53 p.m. |
Created at: April 6, 2026, 12:07 p.m.