Triple
T6210935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Don |
E138865
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | River Dearne |
E211366
|
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 Dearne | Statement: [River Don, hasTributary, River Dearne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Dearne Context triple: [River Don, hasTributary, River Dearne]
-
A.
River Dearne
chosen
River Dearne is a river in South Yorkshire, England, that flows through former coal-mining and industrial areas before joining the River Don.
-
B.
River Wyre
The River Wyre is a river in Lancashire, England, that flows from the Forest of Bowland to the Irish Sea, passing through towns such as Garstang and Poulton-le-Fylde.
-
C.
River Gaunless
River Gaunless is a small river in County Durham, England, that flows through former coal-mining areas before joining the River Wear.
-
D.
River Darwen
River Darwen is a river in Lancashire, England, that flows through towns such as Darwen and Blackburn before joining the River Ribble.
-
E.
River Wenning
The River Wenning is a river in North Yorkshire and Lancashire, England, that flows through the Yorkshire Dales before joining the River Lune.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062896f3881909f264bb45badc5d0 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f57821c8190bd7a5f6bf286ab09 |
completed | March 23, 2026, 4:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.