Triple
T10806858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llyn Gwynant |
E254988
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Nant Gwynant |
E278559
|
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: Nant Gwynant | Statement: [Llyn Gwynant, nearbySettlement, Nant Gwynant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nant Gwynant Context triple: [Llyn Gwynant, nearbySettlement, Nant Gwynant]
-
A.
Nant Gwynant
chosen
Nant Gwynant is a scenic valley in Snowdonia, Wales, known for its lakes, mountain views, and popular hiking routes near Snowdon.
-
B.
Tal-y-Cafn
Tal-y-Cafn is a small village in Conwy County Borough, Wales, situated in the Conwy Valley and known for its rural setting and former railway station on the Conwy Valley Line.
-
C.
Bargoed
Bargoed is a former coal mining town in the Rhymney Valley of south Wales that developed rapidly during the industrial era.
-
D.
Fforestfach
Fforestfach is a suburban district and commercial area within the City and County of Swansea in South Wales.
-
E.
Llwynywermod
Llwynywermod is a rural Welsh estate that serves as the official residence of the Duke of Cornwall in 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b3f92c8190bcc85db22d77bb7d |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4acb7fdac8190bced7e26c948ee4a |
completed | April 19, 2026, 10:21 a.m. |
Created at: April 8, 2026, 9:18 p.m.