Triple
T5161166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salo |
E116439
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Salo River |
E636905
|
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: Salo River | Statement: [Salo, river, Salo River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salo River Context triple: [Salo, river, Salo River]
-
A.
Salo River
chosen
The Salo River is a watercourse in southwestern Finland that flows through and gives its name to the town of Salo.
-
B.
Yèvre River
The Yèvre River is a waterway in central France that flows through the city of Bourges and forms part of the region’s local river network.
-
C.
Luga River
The Luga River is a significant waterway in northwestern Russia that flows through Novgorod and Leningrad Oblasts before emptying into the Gulf of Finland in the Baltic Sea.
-
D.
Razdolnaya River
The Razdolnaya River is a transboundary river in Northeast Asia that flows from northeastern China into Russia’s Primorsky Krai before emptying into the Sea of Japan.
-
E.
Kotorosl River
The Kotorosl River is a tributary of the Volga in central Russia that flows through the city of Yaroslavl and plays an important role in its landscape and history.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79073a54819080cd1e8de6fe906a |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c787e303108190ab14b67c338b1377 |
completed | March 28, 2026, 7:48 a.m. |
Created at: March 20, 2026, 1:44 p.m.