Triple
T2032357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yonne |
E44545
|
entity |
| Predicate | hasRightTributary |
P415
|
FINISHED |
| Object |
Vanne
Vanne is a river in north-central France that serves as a tributary of the Yonne.
|
E225983
|
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: Vanne | Statement: [Yonne, hasRightTributary, Vanne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanne Context triple: [Yonne, hasRightTributary, Vanne]
-
A.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
B.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
C.
Fuquay-Varina
Fuquay-Varina is a rapidly growing suburban town in Wake County, North Carolina, known for its historic downtowns and proximity to the Raleigh metropolitan area.
-
D.
Louvois
Louvois was a powerful French statesman, best known as Louis XIV’s influential war minister who significantly shaped France’s military administration in the late 17th century.
-
E.
Vian
Vian is a surname most notably associated with British Royal Navy Admiral Philip Vian, who served with distinction during both World Wars.
- 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: Vanne Triple: [Yonne, hasRightTributary, Vanne]
Generated description
Vanne is a river in north-central France that serves as a tributary of the Yonne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vanne Target entity description: Vanne is a river in north-central France that serves as a tributary of the Yonne.
-
A.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
B.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
C.
Fuquay-Varina
Fuquay-Varina is a rapidly growing suburban town in Wake County, North Carolina, known for its historic downtowns and proximity to the Raleigh metropolitan area.
-
D.
Louvois
Louvois was a powerful French statesman, best known as Louis XIV’s influential war minister who significantly shaped France’s military administration in the late 17th century.
-
E.
Vian
Vian is a surname most notably associated with British Royal Navy Admiral Philip Vian, who served with distinction during both World Wars.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbdbfe6188190a32ab023660312bd |
completed | March 7, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0b02123c819094d3dc9a7c5c267a |
completed | March 8, 2026, 11:49 p.m. |
| NEDg | Description generation | batch_69ae0b78f3fc81909010d88b454e9fa1 |
completed | March 8, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0c5983ac819082362a3b67dd9808 |
completed | March 8, 2026, 11:55 p.m. |
Created at: March 4, 2026, 7:38 p.m.