Triple
T13209396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eden Estuary |
E314447
|
entity |
| Predicate | mouthOf |
P1008
|
FINISHED |
| Object | River Eden |
E154425
|
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 Eden | Statement: [Eden Estuary, mouthOf, River Eden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Eden Context triple: [Eden Estuary, mouthOf, River Eden]
-
A.
River Eden
The River Eden is a major river in Cumbria, England, flowing from the Pennines through the Eden Valley to the Solway Firth.
-
B.
River Eden
chosen
The River Eden is a river in Fife, Scotland, that flows through the town of Cupar before emptying into the North Sea near St Andrews.
-
C.
River Eden
River Eden is a river in Kent, England, that flows through the town of Edenbridge before joining the River Medway.
-
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 Kinder
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.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9e072c8190b66e2c2430628ed0 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73970791c8190af0facf83b0a2107 |
completed | May 3, 2026, 12:02 p.m. |
Created at: April 9, 2026, 9:17 p.m.