Triple
T21319980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Plaine, Geneva |
E525585
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Dardagny |
—
|
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: Dardagny | Statement: [La Plaine, Geneva, partOf, Dardagny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dardagny Context triple: [La Plaine, Geneva, partOf, Dardagny]
-
A.
Dardagny
chosen
Dardagny is a rural Swiss municipality known for its vineyards and scenic landscapes in the western part of the canton of Geneva.
-
B.
Le Guignon
Le Guignon is a poem by French writer Charles Baudelaire, included among his early poetic works.
-
C.
Champfèr
Champfèr is a small alpine village in the Upper Engadine region of the Swiss canton of Graubünden, known for its scenic lakeside setting near St. Moritz.
-
D.
Fräschels
Fräschels is a small municipality in the canton of Fribourg in western Switzerland, situated near the linguistic border between German- and French-speaking regions.
-
E.
Préverenges
Préverenges is a Swiss municipality on the shores of Lake Geneva in the canton of Vaud, known for its lakeside setting and residential character.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ecfb7d481909cb73f95c3ddd9ed |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:39 p.m.