Triple
T1291794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brecon Beacons |
E27563
|
entity |
| Predicate | riverSource |
P12617
|
FINISHED |
| Object | River Taff |
E35547
|
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 Taff | Statement: [Brecon Beacons, riverSource, River Taff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Taff Context triple: [Brecon Beacons, riverSource, River Taff]
-
A.
River Taff
chosen
The River Taff is a major river in South Wales that flows through Merthyr Tydfil and Cardiff before reaching the Bristol Channel.
-
B.
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.
-
C.
Rhymney River
The Rhymney River is a river in South Wales that flows through the city of Cardiff before reaching the Bristol Channel.
-
D.
River Rhondda
River Rhondda is a river in South Wales that flows through the historic coal-mining valleys of Rhondda Cynon Taf before joining the River Taff.
-
E.
River Afan
River Afan is a river in South Wales that flows through the town of Port Talbot before reaching Swansea Bay.
- 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_69ad58a6e0088190b35258a6accb0440 |
completed | March 8, 2026, 11:08 a.m. |
Created at: March 1, 2026, 7:51 p.m.