Triple
T6424973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Ure |
E128035
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
River Burn
River Burn is a small river in North Yorkshire, England, known for flowing through Wensleydale before joining the River Ure.
|
E591530
|
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 Burn | Statement: [River Ure, hasTributary, River Burn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Burn Context triple: [River Ure, hasTributary, River Burn]
-
A.
River Burn
River Burn is a small river in Norfolk, England, known for flowing through the village of Burnham Thorpe near the north Norfolk coast.
-
B.
Đáy River
Đáy River is a significant river in northern Vietnam that flows through several provinces and districts, serving as an important waterway and agricultural resource.
-
C.
River Bain
River Bain is a river in Lincolnshire, England, known for flowing through the town of Horncastle before joining the River Witham.
-
D.
River Sprint
The River Sprint is a fast-flowing river in Cumbria, England, known for running through the Lake District and contributing to the River Kent catchment.
-
E.
Whiskey River
"Whiskey River" is a country song popularized by Willie Nelson, known for its themes of heartache and escape and for being one of his signature performance staples.
- 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 Burn Triple: [River Ure, hasTributary, River Burn]
Generated description
River Burn is a small river in North Yorkshire, England, known for flowing through Wensleydale before joining the River Ure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: River Burn Target entity description: River Burn is a small river in North Yorkshire, England, known for flowing through Wensleydale before joining the River Ure.
-
A.
River Burn
River Burn is a small river in Norfolk, England, known for flowing through the village of Burnham Thorpe near the north Norfolk coast.
-
B.
Đáy River
Đáy River is a significant river in northern Vietnam that flows through several provinces and districts, serving as an important waterway and agricultural resource.
-
C.
River Bain
River Bain is a river in Lincolnshire, England, known for flowing through the town of Horncastle before joining the River Witham.
-
D.
River Sprint
The River Sprint is a fast-flowing river in Cumbria, England, known for running through the Lake District and contributing to the River Kent catchment.
-
E.
Whiskey River
"Whiskey River" is a country song popularized by Willie Nelson, known for its themes of heartache and escape and for being one of his signature performance staples.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0691e2e708190a9198cf61f92c6c2 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640df84288190ac4691f5a51bf22c |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c6416d2a54819097f5ce13171b12a2 |
completed | March 27, 2026, 8:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c641a793788190926699cc73ca1fe8 |
completed | March 27, 2026, 8:36 a.m. |
Created at: March 22, 2026, 4:43 p.m.