Triple
T17828703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sava Dolinka River |
E445191
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Rateče |
—
|
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: Rateče | Statement: [Sava Dolinka River, flowsNear, Rateče]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rateče Context triple: [Sava Dolinka River, flowsNear, Rateče]
-
A.
Rateče
chosen
Rateče is a village in northwestern Slovenia, close to the Italian and Austrian borders, known as a gateway to the Planica valley and its famous Nordic skiing facilities.
-
B.
Raciąż
Raciąż is a small town in east-central Poland, located in the Masovian Voivodeship.
-
C.
Rider
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
-
D.
Rider
Rider, also known as Iskandar or Alexander the Great, is the charismatic and boisterous Servant of Waver Velvet in Fate/Zero, renowned for his overwhelming Noble Phantasm and kingly charisma.
-
E.
Rider
Rider is a British publishing imprint known for releasing works on spirituality, personal development, and thought-provoking non-fiction.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891696cc819092ee6db7c4a6fae1 |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.