Triple
T2691121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Dysynni |
E58403
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Tywyn |
E49453
|
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: Tywyn | Statement: [River Dysynni, flowsNear, Tywyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tywyn Context triple: [River Dysynni, flowsNear, Tywyn]
-
A.
Tywyn
chosen
Tywyn is a coastal town in Gwynedd, Wales, known for its sandy beaches on Cardigan Bay and proximity to the scenic Talyllyn Railway.
-
B.
Bodelwyddan
Bodelwyddan is a village in Denbighshire, North Wales, known for its strategic location near the A55 and landmarks such as Bodelwyddan Castle.
-
C.
Dolgellau
Dolgellau is a historic market town in Gwynedd, Wales, known for its stone buildings, former woollen industry, and scenic location near the southern edge of Snowdonia National Park.
-
D.
Barmouth
Barmouth is a seaside town and popular holiday resort on the west coast of Wales, known for its sandy beach and scenic location at the mouth of the Mawddach Estuary.
-
E.
Aberdyfi
Aberdyfi is a coastal village in Gwynedd, Wales, known for its sandy beach, harbour at the mouth of the River Dyfi, and popularity as a seaside holiday destination.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0cb9b48190ab354c277cef9e23 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb807d9c388190af594bce7f592d7d |
completed | March 19, 2026, 4:50 a.m. |
Created at: March 6, 2026, 9:54 p.m.