Triple
T19340537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saanen |
E483742
|
entity |
| Predicate | traversedByRiver |
P165
|
FINISHED |
| Object | Saane 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: Saane River | Statement: [Saanen, traversedByRiver, Saane River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saane River Context triple: [Saanen, traversedByRiver, Saane River]
-
A.
Saane River
chosen
The Saane River is a Swiss river that flows through the canton of Fribourg and joins the Aare, contributing significantly to the region’s landscape and hydrology.
-
B.
Sandela River
The Sandela River is a watercourse in northern Poland that flows through the town of Lubawa.
-
C.
Ausa River
The Ausa River is a small watercourse in the Emilia-Romagna region of Italy that flows through the city of Rimini before reaching the Adriatic Sea.
-
D.
Ngadda River
The Ngadda River is a waterway in northeastern Nigeria that flows through the city of Maiduguri and contributes to the region’s drainage into Lake Chad.
-
E.
Sumène River
The Sumène River is a watercourse in south-central France that originates in the Cantal Mountains and flows through the Auvergne region before joining larger river systems.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61856c0948190a3166b3bf3810e43 |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:33 p.m.