Triple
T12640687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Přeštice |
E301888
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Skočice |
E970540
|
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: Skočice | Statement: [Přeštice, hasSubdivision, Skočice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skočice Context triple: [Přeštice, hasSubdivision, Skočice]
-
A.
Vrhnika
Vrhnika is a historic town and municipality in central Slovenia, known as a former important trading post and the birthplace of the writer Ivan Cankar.
-
B.
Klinovec
Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
-
C.
Brnik
Brnik is a village in Slovenia best known as the site of the country’s main international gateway, Ljubljana Jože Pučnik Airport.
-
D.
Vrčeň
chosen
Vrčeň is a small village and municipality in the Plzeň Region of the Czech Republic.
-
E.
Zoboralja
Zoboralja is a traditional Hungarian-inhabited cultural region in present-day southern Slovakia, known for its distinctive folk customs, dialect, and historical villages.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9614ae6ac8190b42acbf2b0331fda |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719a45d881908dd895836a225781 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:17 p.m.