Triple
T17523241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brno-Country District |
E426728
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Veverská Bítýška |
—
|
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: Veverská Bítýška | Statement: [Brno-Country District, hasMunicipality, Veverská Bítýška]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veverská Bítýška Context triple: [Brno-Country District, hasMunicipality, Veverská Bítýška]
-
A.
Veverská Bítýška
chosen
Veverská Bítýška is a small town in the South Moravian Region of the Czech Republic, known for its scenic setting near Brno and its location along the Svratka River.
-
B.
Velká Bíteš
Velká Bíteš is a historic town in the Czech Republic known for its well-preserved medieval center and location on the D1 motorway between Prague and Brno.
-
C.
Býchory
Býchory is a small village in the Central Bohemian Region of the Czech Republic, known as the birthplace of conductor and composer Rafael Kubelík.
-
D.
Bešeňová
Bešeňová is a village in northern Slovakia known for its popular thermal spa and aquapark resort.
-
E.
Býšť
Býšť is a village and municipality in the Pardubice Region of the Czech Republic.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d40ee08190b79d8e3d7f1b1272 |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.