Triple
T5158661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan City of Turin |
E116378
|
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: [Metropolitan City of Turin, hasMajorRiver, Sangone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sangone Context triple: [Metropolitan City 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.
Sonai River
The Sonai River is a tributary waterway in northeastern India that feeds into the larger Barak River system.
-
C.
Chiers River
The Chiers River is a tributary of the Meuse that flows through Luxembourg, Belgium, and northeastern France, passing industrial towns such as Longwy along its course.
-
D.
Choapa River
The Choapa River is a significant watercourse in north-central Chile that flows through the Coquimbo Region toward the Pacific Ocean, supporting local agriculture and settlements along its basin.
-
E.
Inva River
The Inva River is a tributary waterway in Russia that feeds into the larger Kama River within the Volga basin.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7904457c819090f382029ebb2b43 |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed01a85f88190827a79a2c26e539f |
completed | March 21, 2026, 5:06 p.m. |
Created at: March 20, 2026, 1:44 p.m.