Triple
T10949037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kutno |
E258676
|
entity |
| Predicate | hasNearbyRiver |
P8567
|
FINISHED |
| Object | Bzura River |
E54868
|
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: Bzura River | Statement: [Kutno, hasNearbyRiver, Bzura River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bzura River Context triple: [Kutno, hasNearbyRiver, Bzura River]
-
A.
Bzura River
chosen
The Bzura River is a waterway in central Poland that gained historical significance as the site of a major World War II battle between Polish and German forces in 1939.
-
B.
Pyszna River
The Pyszna River is a small watercourse in central Poland that flows through the town of Wieluń and its surrounding region.
-
C.
Bílina River
The Bílina River is a river in the northwestern Czech Republic that flows through the industrial and mining areas of the Ústí nad Labem Region before joining the Elbe.
-
D.
Bystrzyca River
The Bystrzyca River is a river in eastern Poland that flows through the city of Lublin and is a tributary of the Wieprz River.
-
E.
Rospuda River
The Rospuda River is a scenic waterway in northeastern Poland known for its unspoiled natural landscapes and ecologically valuable wetlands.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ec7028819084f5ce2035a128e4 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b76fa8348190bb42f1c71eb0e545 |
completed | April 20, 2026, 5:19 a.m. |
Created at: April 8, 2026, 9:23 p.m.