Triple
T21187638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sutton Bridge |
E522123
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | River Nene |
—
|
NE NERFINISHED |
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 Nene | Statement: [Sutton Bridge, locatedNear, River Nene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Nene Context triple: [Sutton Bridge, locatedNear, River Nene]
-
A.
River Nene
chosen
River Nene is a major river in eastern England that flows through Northamptonshire, Cambridgeshire, and Norfolk before reaching The Wash on the North Sea.
-
B.
River Soar
The River Soar is a major river in central England that flows through Leicestershire and the city of Leicester before joining the River Trent.
-
C.
River Babergh
River Babergh is a small river in Suffolk, England, whose course gives its name to the surrounding Babergh district.
-
D.
River Ouse
The River Ouse is a major river in North Yorkshire, England, flowing through the historic city of York and forming part of the Humber river system before reaching the North Sea.
-
E.
River Ouse
River Ouse is a river in Tasmania, Australia, known for flowing through the central highlands and contributing to the region’s hydroelectric and agricultural systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333403448190bcd9cc0805e414b5 |
completed | April 21, 2026, 8:20 a.m. |
Created at: April 16, 2026, 3:07 p.m.