Triple
T22348752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dora Baltea |
E552469
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Buthier |
—
|
NE NERFINISHED |
How this triple was built (2 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: Buthier | Statement: [Dora Baltea, hasTributary, Buthier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buthier Context triple: [Dora Baltea, hasTributary, Buthier]
-
A.
Buthier
chosen
Buthier is a river in Italy’s Aosta Valley that flows through the city of Aosta before joining the Dora Baltea.
-
B.
Thieux
Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
C.
Dagneux
Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
-
D.
Buzenval
Buzenval is a Paris Métro station in the 20th arrondissement, serving Line 9 near the Porte de Montreuil area.
-
E.
Bongrand
Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1579a1c308190ae2174f99ae317ab |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:43 p.m.