Triple
T9876190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svitava |
E240078
|
entity |
| Predicate | mouthRiver |
P4359
|
FINISHED |
| Object | Svratka |
E240077
|
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: Svratka | Statement: [Svitava, mouthRiver, Svratka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svratka Context triple: [Svitava, mouthRiver, Svratka]
-
A.
Svratka
chosen
Svratka is a river in the Czech Republic that flows through the city of Brno and is a significant watercourse in the South Moravian region.
-
B.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
C.
Šavnik
Šavnik is a small mountainous town and municipality in northern Montenegro, known for its rugged landscape and proximity to the Durmitor region.
-
D.
Klinovec
Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
-
E.
Baranja
Baranja is a historical and geographical region in eastern Croatia and southern Hungary, known for its fertile plains, vineyards, and multicultural heritage.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3fb58d481908407898912c4b4e9 |
completed | April 2, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e47b62388190a033743376500375 |
completed | April 5, 2026, 4:26 a.m. |
Created at: March 30, 2026, 8:37 p.m.