Triple
T7184453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Po River basin |
E167533
|
entity |
| Predicate | majorTributary |
P415
|
FINISHED |
| Object | Sesia |
E153722
|
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: Sesia | Statement: [Po River basin, majorTributary, Sesia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sesia Context triple: [Po River basin, majorTributary, Sesia]
-
A.
Sesia
chosen
The Sesia is a river in northwestern Italy that flows through the Piedmont region before joining the Po River.
-
B.
Vézina
Vézina is a French-Canadian surname most famously associated with Georges Vézina, the legendary early 20th-century ice hockey goaltender and namesake of the NHL’s Vezina Trophy.
-
C.
Yerre
The Yerre is a river in northern France that flows through the Île-de-France region before joining the Loir.
-
D.
Inva River
The Inva River is a tributary waterway in Russia that feeds into the larger Kama River within the Volga basin.
-
E.
Rissne
Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8de114c8190ad8fde0654526482 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b94b058481909da9d5b21a5201de |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:49 p.m.