Triple
T95579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhône River |
E1922
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Grand Rhône |
E1922
|
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: Grand Rhône | Statement: [Rhône River, hasPart, Grand Rhône]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grand Rhône Context triple: [Rhône River, hasPart, Grand Rhône]
-
A.
Rhône River
chosen
The Rhône River is a major European waterway that flows from the Swiss Alps through Lake Geneva into southeastern France, ultimately emptying into the Mediterranean Sea.
-
B.
Jura
Jura is a predominantly French-speaking canton in northwestern Switzerland known for its Jura Mountains, watchmaking tradition, and strong regional identity.
-
C.
Allier River
The Allier River is a major river in central France, known for its largely unspoiled natural course and as a tributary of the Loire.
-
D.
Jet d'Eau
Jet d'Eau is a famous large water fountain on Lake Geneva and one of the most iconic symbols of the city of Geneva, Switzerland.
-
E.
Rhine
The Rhine is one of Europe's most important rivers, historically serving as a vital trade route and cultural boundary from the Alps through Germany to the North Sea.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24fd4777c81909ea9b9a6bd4f7ad5 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2bf6620c88190bfc1c65b9942c98f |
completed | Feb. 28, 2026, 10:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.