Triple
T4290107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aberdare |
E97367
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | River Cynon |
E116845
|
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 Cynon | Statement: [Aberdare, hasRiver, River Cynon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Cynon Context triple: [Aberdare, hasRiver, River Cynon]
-
A.
River Cynon
chosen
River Cynon is a river in South Wales that flows through the Cynon Valley and contributes to the region’s industrial and cultural identity.
-
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 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.
-
D.
River Clwyd
River Clwyd is a river in northeast Wales that flows through Denbighshire to the Irish Sea near Rhyl.
-
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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35061f5448190b3356b29a9129160 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb80ac75448190a2f6724c11eabef3 |
completed | March 19, 2026, 4:50 a.m. |
Created at: March 12, 2026, 11:08 p.m.