Triple
T4635393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Wear |
E101516
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
River Browney
River Browney is a river in County Durham, England, that flows through former coal-mining areas before joining the River Wear near Durham.
|
E597849
|
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 Browney | Statement: [River Wear, hasTributary, River Browney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Browney Context triple: [River Wear, hasTributary, River Browney]
-
A.
River Bain
River Bain is a river in Lincolnshire, England, known for flowing through the town of Horncastle before joining the River Witham.
-
B.
River Whiteadder
River Whiteadder is a river in southeastern Scotland that flows through the Scottish Borders and East Lothian before joining the River Tweed.
-
C.
River Crimple
River Crimple is a small river in North Yorkshire, England, that flows through the spa town of Harrogate and its surrounding countryside.
-
D.
River Rawthey
River Rawthey is a river in Cumbria, England, that flows through the Howgill Fells and Sedbergh before joining the River Lune.
-
E.
River Feugh
River Feugh is a scenic river in Aberdeenshire, Scotland, known for its salmon leap and picturesque footbridge near Banchory.
- 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 Browney Triple: [River Wear, hasTributary, River Browney]
Generated description
River Browney is a river in County Durham, England, that flows through former coal-mining areas before joining the River Wear near Durham.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: River Browney Target entity description: River Browney is a river in County Durham, England, that flows through former coal-mining areas before joining the River Wear near Durham.
-
A.
River Bain
River Bain is a river in Lincolnshire, England, known for flowing through the town of Horncastle before joining the River Witham.
-
B.
River Whiteadder
River Whiteadder is a river in southeastern Scotland that flows through the Scottish Borders and East Lothian before joining the River Tweed.
-
C.
River Crimple
River Crimple is a small river in North Yorkshire, England, that flows through the spa town of Harrogate and its surrounding countryside.
-
D.
River Rawthey
River Rawthey is a river in Cumbria, England, that flows through the Howgill Fells and Sedbergh before joining the River Lune.
-
E.
River Feugh
River Feugh is a scenic river in Aberdeenshire, Scotland, known for its salmon leap and picturesque footbridge near Banchory.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a60a66c8190b76f3d3a7da1df55 |
completed | March 20, 2026, 2:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6636635c481908482c3a7e7cf311b |
completed | March 27, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c6640dd5b08190a2af7b9af0cced0f |
completed | March 27, 2026, 11:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c66470cb108190850be65b3efeb3fb |
completed | March 27, 2026, 11:05 a.m. |
Created at: March 20, 2026, 1:13 p.m.