Triple
T12836010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Conwy |
E306914
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | River Llugwy |
E815082
|
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 Llugwy | Statement: [River Conwy, hasTributary, River Llugwy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Llugwy Context triple: [River Conwy, hasTributary, River Llugwy]
-
A.
River Llugwy
chosen
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.
-
B.
River Dwyryd
River Dwyryd is a river in Gwynedd, Wales, that flows through Snowdonia to reach the estuary near Porthmadog on the west coast.
-
C.
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.
-
D.
River Ystwyth
River Ystwyth is a river in west Wales that flows through Ceredigion to the coastal town of Aberystwyth, where it meets the sea.
-
E.
River Honddu
River Honddu is a small river in Powys, Wales, known for flowing through the Brecon Beacons area before joining the River Monnow.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff015f4819090070a01f3938acc |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d7a9e6c81908ae78daace02e7ec |
completed | May 3, 2026, 2:36 p.m. |
Created at: April 9, 2026, 5:35 p.m.