Triple
T1291793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brecon Beacons |
E27563
|
entity |
| Predicate | riverSource |
P12617
|
FINISHED |
| Object | River Usk |
E159352
|
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 Usk | Statement: [Brecon Beacons, riverSource, River Usk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Usk Context triple: [Brecon Beacons, riverSource, River Usk]
-
A.
River Usk
chosen
The River Usk is a major river in Wales known for its scenic valley, rich wildlife, and reputation as one of the UK’s premier salmon and trout fishing rivers.
-
B.
River Wye
The River Wye is a major river in Wales and western England, renowned for its scenic valley landscapes and importance as a wildlife and recreational area.
-
C.
River Wye
The River Wye is a picturesque river in the Peak District of England, known for flowing through limestone dales and scenic countryside popular with walkers and anglers.
-
D.
River Dwyryd
River Dwyryd is a river in Gwynedd, Wales, that flows through Snowdonia to reach the estuary near Porthmadog on the west coast.
-
E.
Neath
Neath is a historic industrial and market town in South Wales, known for its Roman and medieval heritage and its role in the coal and steel industries.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0d7d15081909d3af19b9297f1cc |
completed | March 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51996dc08190afecb40095e3d3e2 |
completed | March 8, 2026, 10:38 a.m. |
Created at: March 1, 2026, 7:51 p.m.