Triple
T6210966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Loxley |
E138866
|
entity |
| Predicate | flowsInto |
P408
|
FINISHED |
| Object | River Don |
E138865
|
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 Don | Statement: [River Loxley, flowsInto, River Don]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Don Context triple: [River Loxley, flowsInto, River Don]
-
A.
River Don
chosen
The River Don is a major waterway in South Yorkshire, England, historically central to the region’s industrial development and the city of Sheffield.
-
B.
River Don
The River Don is a major river in northeast Scotland that flows from the Grampian Mountains through Aberdeenshire to the North Sea near Aberdeen.
-
C.
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.
-
D.
River Dun
The River Dun is a small river in Hampshire, England, that flows through rural landscapes before joining the renowned chalk stream River Test.
-
E.
River Dun
The River Dun is a tributary watercourse in southern England that feeds into the River Kennet as part of the Kennet and Avon river 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062896f3881909f264bb45badc5d0 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20da55e3c81909a61471b38e88894 |
completed | March 24, 2026, 4:05 a.m. |
Created at: March 22, 2026, 4:21 p.m.