Triple
T3644965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Bure |
E77275
|
entity |
| Predicate | tributary |
P415
|
FINISHED |
| Object | River Thurne |
E273235
|
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 Thurne | Statement: [River Bure, tributary, River Thurne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Thurne Context triple: [River Bure, tributary, River Thurne]
-
A.
River Thurne
chosen
River Thurne is a navigable river in the Norfolk Broads of eastern England, known for its scenic waterways, windmills, and boating tourism.
-
B.
River Dorn
River Dorn is a small river in Oxfordshire, England, that flows through the Cotswolds and joins the River Glyme near Blenheim Palace.
-
C.
River Corve
River Corve is a small river in Shropshire, England, that flows through rural countryside before joining the River Teme.
-
D.
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.
-
E.
River Seph
River Seph is a small river flowing through the North York Moors in North Yorkshire, England, contributing to the region’s rural landscape and drainage system.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35da84c81908950de92ba171fa3 |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503df6c708190b8adf4afcadde20c |
completed | March 14, 2026, 6:44 a.m. |
Created at: March 8, 2026, 3:24 p.m.