Triple
T9709345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruthin |
E234980
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | River Clywedog (nearby) |
E645931
|
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: River Clywedog (nearby) | Statement: [Ruthin, hasRiver, River Clywedog (nearby)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Clywedog (nearby) Context triple: [Ruthin, hasRiver, River Clywedog (nearby)]
-
A.
River Clywedog
chosen
River Clywedog is a small river in Wrexham County Borough, Wales, historically associated with local industry and the village of Bersham.
-
B.
River Lledr
River Lledr is a scenic river in Snowdonia, North Wales, known for flowing through wooded valleys and picturesque landscapes before joining the River Conwy.
-
C.
River Clwyd
River Clwyd is a river in northeast Wales that flows through Denbighshire to the Irish Sea near Rhyl.
-
D.
River Llynfi
River Llynfi is a river in south Wales that flows through the Llynfi Valley and the town of Maesteg before joining the River Ogmore.
-
E.
River Llugwy
The River Llugwy is a scenic river in Snowdonia, North Wales, known for flowing through the village of Betws-y-Coed and its picturesque waterfalls and woodland landscapes.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da7c6188190b086f7e411378268 |
completed | April 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af93b76c81908377f17956fb86b1 |
completed | April 5, 2026, 12:40 a.m. |
Created at: March 30, 2026, 8:19 p.m.