Triple
T23307811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Tamaro |
E590498
|
entity |
| Predicate | isNear |
P350
|
FINISHED |
| Object | River Ticino |
—
|
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: River Ticino | Statement: [Monte Tamaro, isNear, River Ticino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Ticino Context triple: [Monte Tamaro, isNear, River Ticino]
-
A.
Ticino River
chosen
The Ticino River is a major river in Switzerland and northern Italy that flows from the Swiss Alps through Lake Maggiore before joining the Po River.
-
B.
River Reuss
The River Reuss is a major Swiss river that flows from the Gotthard region through cities such as Lucerne before joining the Aare.
-
C.
Adige
The Adige is one of Italy’s longest rivers, flowing from the Alpine region of South Tyrol through cities like Bolzano and Verona before emptying into the Adriatic Sea.
-
D.
Serchio River
The Serchio River is a major river in Tuscany, Italy, flowing through the province of Lucca before emptying into the Ligurian Sea.
-
E.
Iassogna
Iassogna is the surname of Dan Iassogna, an American Major League Baseball umpire.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197292fd08190bc364e1433dde213 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.