Triple
T23339075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Côte region |
E591684
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bursins |
—
|
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: Bursins | Statement: [La Côte region, contains, Bursins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bursins Context triple: [La Côte region, contains, Bursins]
-
A.
Bursins
chosen
Bursins is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva.
-
B.
Buhloises
Buhloises is a fictional or stylized name that appears to refer to a character or entity with a specifically designated female form.
-
C.
Barbalissos
Barbalissos was an ancient town and military site in Roman Syria, strategically located near the Euphrates River and known as the scene of a major 3rd-century battle between Rome and the Sasanian Empire.
-
D.
Budorcas
Budorcas is a genus of large, goat-antelope-like mammals best known for the takin, a robust, shaggy ungulate native to the mountainous regions of Asia.
-
E.
Bagrus
Bagrus is a genus of large, predatory freshwater catfishes native mainly to African rivers and lakes.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983099188190a2e05cf81d62a641 |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:17 p.m.