Triple
T2425751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aberdeen |
E53521
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | River Don |
E231617
|
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: [Aberdeen, hasRiver, River Don]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Don Context triple: [Aberdeen, hasRiver, River Don]
-
A.
River Don
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
chosen
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 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.
-
D.
River Tas
The River Tas is a small river in Norfolk, England, that flows through rural landscapes and villages before joining the River Yare.
-
E.
River Leine
The River Leine is a major river in central Germany that flows through the city of Hanover and several federal states before joining the Aller.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc99a773c819092d5f3c297b83887 |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17864e9881909b32b70d55028016 |
completed | March 9, 2026, 6:55 p.m. |
Created at: March 6, 2026, 9:42 p.m.