Triple
T5250298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colne River |
E118569
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | River Ver |
E212053
|
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 Ver | Statement: [Colne River, hasTributary, River Ver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Ver Context triple: [Colne River, hasTributary, River Ver]
-
A.
River Ver
chosen
The River Ver is a small chalk stream in Hertfordshire, England, flowing through St Albans before joining the River Colne.
-
B.
River Nar
The River Nar is a small river in Norfolk, England, that flows through the countryside to join the River Great Ouse near King’s Lynn.
-
C.
River Corve
River Corve is a small river in Shropshire, England, that flows through rural countryside before joining the River Teme.
-
D.
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.
-
E.
Var River
The Var River is a major waterway in southeastern France that flows from the Maritime Alps to the Mediterranean Sea near Nice.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b79ae0c81908a9b8614f6886259 |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe6cd9ac81909a97ff26d061746a |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:50 p.m.