Triple
T11105106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Sett |
E262607
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | River Kinder |
E172613
|
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 Kinder | Statement: [River Sett, hasTributary, River Kinder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Kinder Context triple: [River Sett, hasTributary, River Kinder]
-
A.
River Kinder
chosen
The River Kinder is a small moorland river in the Peak District of England, known for its dramatic Kinder Downfall waterfall and rugged upland scenery.
-
B.
River Brun
River Brun is a small river in Lancashire, England, that flows through the town of Burnley and contributes to its local landscape and waterways.
-
C.
River Brit
The River Brit is a small river in West Dorset, England, that flows through the town of Bridport before reaching the English Channel at West Bay.
-
D.
River Kemp
River Kemp is a small river in Shropshire, England, known for flowing through rural countryside before joining the River Clun.
-
E.
River Loud
River Loud is a small river in Lancashire, England, that flows through rural countryside before joining the River Ribble.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a2e319881909e66d3c0c73b56bc |
completed | April 9, 2026, 12:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441c3b1788190868fae6919544149 |
completed | April 19, 2026, 2:45 a.m. |
Created at: April 8, 2026, 9:27 p.m.