Triple
T2565626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banská Bystrica |
E57343
|
entity |
| Predicate | officialLanguage |
P236
|
FINISHED |
| Object | Slovak |
E63000
|
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: Slovak | Statement: [Banská Bystrica, officialLanguage, Slovak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slovak Context triple: [Banská Bystrica, officialLanguage, Slovak]
-
A.
Slovak language
chosen
The Slovak language is a West Slavic language spoken primarily in Slovakia and closely related to Czech and Polish.
-
B.
Slovaks
Slovaks are a West Slavic ethnic group primarily associated with Slovakia, sharing linguistic and cultural ties with neighboring Slavic peoples.
-
C.
Slovak American
Slovak Americans are U.S. residents and citizens of Slovak ancestry, many of whose families immigrated from present-day Slovakia and contributed to American cultural, industrial, and artistic life.
-
D.
Czech language
Czech language is a West Slavic language spoken primarily in the Czech Republic and known for its rich literary tradition and complex grammar.
-
E.
Surzhyk
Surzhyk is a mixed sociolect that blends elements of Ukrainian and Russian, commonly spoken in various regions of Ukraine.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35ef22c8190966612cc75f69eca |
completed | March 7, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af906f488481909e5e45d8405022b5 |
completed | March 10, 2026, 3:30 a.m. |
Created at: March 6, 2026, 9:48 p.m.