Triple
T5643237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackwood |
E124319
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Sirhowy River |
E562699
|
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: Sirhowy River | Statement: [Blackwood, hasRiver, Sirhowy River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirhowy River Context triple: [Blackwood, hasRiver, Sirhowy River]
-
A.
Sirhowy River
chosen
The Sirhowy River is a waterway in south Wales that flows through the historic industrial landscape of the Sirhowy Valley before joining the River Ebbw.
-
B.
Rhymney River
The Rhymney River is a river in South Wales that flows through the city of Cardiff before reaching the Bristol Channel.
-
C.
River Taff
The River Taff is a major river in South Wales that flows through Merthyr Tydfil and Cardiff before reaching the Bristol Channel.
-
D.
River Rheidol
The River Rheidol is a river in Ceredigion, Wales, known for flowing through steep wooded valleys to the coastal town of Aberystwyth and lending its name to the historic Vale of Rheidol Railway.
-
E.
River Cynon
River Cynon is a river in South Wales that flows through the Cynon Valley and contributes to the region’s industrial and cultural identity.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022a7cd9c819087f86f60e8b65fc3 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20d02748c819086f3b66a36201fdc |
completed | March 24, 2026, 4:03 a.m. |
Created at: March 22, 2026, 3:41 p.m.