Triple
T15145820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Turin |
E361802
|
entity |
| Predicate | hasMajorRiver |
P165
|
FINISHED |
| Object | Sangone |
E364242
|
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: Sangone | Statement: [Province of Turin, hasMajorRiver, Sangone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sangone Context triple: [Province of Turin, hasMajorRiver, Sangone]
-
A.
Sangone
chosen
Sangone is a river in northwestern Italy that flows through the Piedmont region before joining the Dora Riparia.
-
B.
Saho River
The Saho River is a Japanese river in the Kansai region that forms part of the Yamato River system.
-
C.
Du Gué River
The Du Gué River is a remote river in northern Quebec, Canada, that drains into Ungava Bay in the Arctic region.
-
D.
Endako River
Endako River is a tributary waterway in central British Columbia, Canada, that feeds into the Nechako River within the Fraser River basin.
-
E.
Omignon River
The Omignon River is a small river in northern France that flows through the Hauts-de-France region before joining the Somme River.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c71b688190b2e8ccfdf4db9037 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed323e5548190902f65db50a36cd4 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:07 a.m.