Triple
T21290262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Bohemia |
E524766
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Mže |
—
|
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: Mže | Statement: [West Bohemia, hasRiver, Mže]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mže Context triple: [West Bohemia, hasRiver, Mže]
-
A.
Mže
chosen
Mže is a river in the Czech Republic that flows through the city of Plzeň and forms part of the Berounka river system.
-
B.
Mimoň
Mimoň is a small town in the Liberec Region of the Czech Republic, known for its location in the Ralsko Uplands and proximity to former military training areas.
-
C.
Tato
Tato was an early Lombard king of the Lething dynasty, known from tradition as a pre-migration ruler in the tribe’s legendary history.
-
D.
Tato
Tato is a Polish drama film best known for starring acclaimed actor Bogusław Linda as a father fighting for custody of his daughter.
-
E.
Mareček
Mareček is a Slovak diminutive form of the male given name Marek, typically used as an affectionate or familiar variant.
- 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.