Triple
T3839845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Test |
E93423
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
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.
|
E399344
|
NE FINISHED |
How this triple was built (4 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 Dun | Statement: [River Test, hasTributary, River Dun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Dun Context triple: [River Test, hasTributary, River Dun]
-
A.
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.
-
B.
River Alt
The River Alt is a small river in Merseyside, England, that flows through the Liverpool area before reaching the Irish Sea.
-
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 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.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: River Dun Triple: [River Test, hasTributary, River Dun]
Generated description
The River Dun is a small river in Hampshire, England, that flows through rural landscapes before joining the renowned chalk stream River Test.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: River Dun Target entity description: The River Dun is a small river in Hampshire, England, that flows through rural landscapes before joining the renowned chalk stream River Test.
-
A.
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.
-
B.
River Alt
The River Alt is a small river in Merseyside, England, that flows through the Liverpool area before reaching the Irish Sea.
-
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 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.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeba1535c8190b36e2ab2d4514b54 |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5283876148190b06633b91a788ffe |
completed | March 14, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69b529182fc4819080b70ba8af713535 |
completed | March 14, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5297b3e14819093886f2cedb05abc |
completed | March 14, 2026, 9:25 a.m. |
Created at: March 9, 2026, 3:18 p.m.