Triple
T15338815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drau |
E366735
|
entity |
| Predicate | hasMajorTributary |
P415
|
FINISHED |
| Object | Bednja |
E365640
|
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: Bednja | Statement: [Drau, hasMajorTributary, Bednja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bednja Context triple: [Drau, hasMajorTributary, Bednja]
-
A.
Bednja
chosen
Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
-
B.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
C.
Baranja
Baranja is a historical and geographical region in eastern Croatia and southern Hungary, known for its fertile plains, vineyards, and multicultural heritage.
-
D.
Blansko
Blansko is a small industrial town in the South Moravian Region of the Czech Republic, known as a gateway to the Moravian Karst cave system.
-
E.
Budni
Budni is a town in the Sehore district of Madhya Pradesh, India, known for its industrial presence and proximity to the Narmada River.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b41f130819082ea69ea535468ce |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:17 a.m.