Triple
T3080114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berwickshire |
E64234
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object |
Eye Water
Eye Water is a river in the Scottish Borders region of Berwickshire, known for flowing through rural landscapes before reaching the North Sea.
|
E324599
|
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: Eye Water | Statement: [Berwickshire, containsRiver, Eye Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eye Water Context triple: [Berwickshire, containsRiver, Eye Water]
-
A.
Eye
Eye is a small historic market town in Suffolk, England, known for its medieval architecture and rural surroundings.
-
B.
River Eye
The River Eye is a small river in eastern England that flows through rural Leicestershire before joining the River Witham.
-
C.
Water
"Water" is a gospel-infused hip-hop track by Kanye West from his 2019 album *Jesus Is King*, noted for its minimalist production and spiritual, cleansing-themed lyrics.
-
D.
King Water
King Water is a small river in Cumbria, England, that serves as one of the tributaries feeding into the River Eden.
-
E.
Lightwater
Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
- 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: Eye Water Triple: [Berwickshire, containsRiver, Eye Water]
Generated description
Eye Water is a river in the Scottish Borders region of Berwickshire, known for flowing through rural landscapes before reaching the North Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eye Water Target entity description: Eye Water is a river in the Scottish Borders region of Berwickshire, known for flowing through rural landscapes before reaching the North Sea.
-
A.
Eye
Eye is a small historic market town in Suffolk, England, known for its medieval architecture and rural surroundings.
-
B.
River Eye
The River Eye is a small river in eastern England that flows through rural Leicestershire before joining the River Witham.
-
C.
Water
"Water" is a gospel-infused hip-hop track by Kanye West from his 2019 album *Jesus Is King*, noted for its minimalist production and spiritual, cleansing-themed lyrics.
-
D.
King Water
King Water is a small river in Cumbria, England, that serves as one of the tributaries feeding into the River Eden.
-
E.
Lightwater
Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1a9d61081909953eb2f4ad4537e |
completed | March 8, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f89443a4819091dafc560b45cc26 |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f93d5b208190835093f453fd33ab |
completed | March 11, 2026, 11:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f9ea9b908190a86e2b79a89e0283 |
completed | March 11, 2026, 11:25 p.m. |
Created at: March 8, 2026, 3:03 p.m.