Triple
T22263981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geneva road network |
E550300
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Arve River |
—
|
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: Arve River | Statement: [Geneva road network, crosses, Arve River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arve River Context triple: [Geneva road network, crosses, Arve River]
-
A.
Arve River
chosen
The Arve River is a glacial river in the Alps that flows through France and Switzerland, notably passing through Geneva before joining the Rhône.
-
B.
Österdal River
The Österdal River is a major river in central Sweden that flows through the Dalarna region and joins the Västerdal River to form the Dalälven.
-
C.
Blavet River
The Blavet River is a waterway in Brittany, northwestern France, that flows into the Atlantic Ocean near the port city of Lorient.
-
D.
Orkla River
The Orkla River is a major river in Trøndelag, central Norway, known for flowing through the Orkdalen valley and for its historically important salmon fisheries and hydropower resources.
-
E.
Bøvra River
Bøvra River is a Norwegian river flowing through the municipality of Lom in Innlandet county, known for its mountainous surroundings and scenic valley landscapes.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141ba5c9481909e24067133918ae2 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:39 p.m.