Triple
T7465033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipal Council of Dardagny |
E176351
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Dardagny |
E33004
|
NE FINISHED |
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: [Municipal Council of Dardagny, locatedIn, Dardagny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dardagny Context triple: [Municipal Council of Dardagny, locatedIn, 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.
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.
-
C.
Garmes
Garmes is a surname most notably associated with Lee Garmes, an influential American cinematographer of Hollywood’s classic era.
-
D.
Greuze
Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
-
E.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f28f34819080713a8abcc22034 |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8346adb3081908f049d8dcd623215 |
completed | March 28, 2026, 8:04 p.m. |
Created at: March 27, 2026, 3:40 p.m.