Triple
T21290263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Bohemia |
E524766
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Radbuza |
—
|
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: Radbuza | Statement: [West Bohemia, hasRiver, Radbuza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radbuza Context triple: [West Bohemia, hasRiver, Radbuza]
-
A.
Radbuza
chosen
Radbuza is a river in the Czech Republic that flows through western Bohemia and is one of the main rivers running through the city of Plzeň.
-
B.
Rabsztyn
Rabsztyn is a village in southern Poland known for the ruins of its medieval castle, which is part of the historic Trail of the Eagles' Nests.
-
C.
Glavinitsa
Glavinitsa is a small town in northeastern Bulgaria, known as an administrative center in the Silistra Province.
-
D.
Bzura
Bzura is a river in central Poland known for its historical significance, including being the site of a major World War II battle.
-
E.
Rába
Rába is a river in Central Europe that flows primarily through western Hungary and parts of Austria, eventually joining the Danube.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d9467881908ec5b1dec76e6f5d |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.