Triple
T17523229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brno-Country District |
E426728
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Šlapanice |
—
|
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: Šlapanice | Statement: [Brno-Country District, hasMunicipality, Šlapanice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Šlapanice Context triple: [Brno-Country District, hasMunicipality, Šlapanice]
-
A.
Šlapanice
chosen
Šlapanice is a small town in the South Moravian Region of the Czech Republic, situated just east of Brno and functioning largely as a residential and commuter suburb of the city.
-
B.
Slapy
Slapy is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and local historical charm.
-
C.
Podyjí
Podyjí is a protected national park area in the Czech Republic known for its deep Dyje River valley, diverse ecosystems, and well-preserved natural landscapes.
-
D.
Slaná
Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
-
E.
Blatná
Blatná is a historic Czech town best known for its picturesque water castle and surrounding ponds in the South Bohemian countryside.
- 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.