Triple
T12623766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saane basin |
E301456
|
entity |
| Predicate | drainedBy |
P165
|
FINISHED |
| Object | Sarine 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: Sarine River | Statement: [Saane basin, drainedBy, Sarine River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarine River Context triple: [Saane basin, drainedBy, Sarine River]
-
A.
Sarine River
chosen
The Sarine River is a major river in western Switzerland that flows through the canton of Fribourg and eventually joins the Aare.
-
B.
Saleph River
The Saleph River, historically located in present-day Turkey, is best known as the site where Holy Roman Emperor Frederick I Barbarossa drowned during the Third Crusade.
-
C.
Savena River
The Savena River is a watercourse in northern Italy that flows through the Emilia-Romagna region and passes near the city of Bologna.
-
D.
Durolle River
The Durolle River is a waterway in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
-
E.
Sulori River
The Sulori River is a small river in western Georgia that flows through the town of Vani and is known for its nearby mineral springs and scenic surroundings.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610a897c8190a96f3c78d4b270a2 |
completed | April 10, 2026, 8:43 p.m. |
Created at: April 9, 2026, 5:14 p.m.