Triple
T21419719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SK |
E528402
|
entity |
| Predicate | hasNationalLanguageStatus |
P17042
|
FINISHED |
| Object | official language: Slovak |
—
|
LITERAL 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: official language: Slovak | Statement: [SK, hasNationalLanguageStatus, official language: Slovak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalLanguageStatus Context triple: [SK, hasNationalLanguageStatus, official language: Slovak]
-
A.
nationalLanguageStatus
chosen
Indicates that a language holds official or nationally recognized status within a country or political entity.
-
B.
hasNotableLanguageWithOfficialStatusIn
Indicates that a language holds an officially recognized and notable status within a specified jurisdiction or region.
-
C.
countryOfficialLanguageStatus
Indicates the status or role that a particular language holds as an official language within a given country.
-
D.
hasOfficialCountryLanguage
Indicates that a country recognizes a particular language as one of its official languages for governmental or legal purposes.
-
E.
hasLanguageStatus
Indicates that an entity has a particular status or condition regarding its language use, recognition, or classification.
- F. None of above.
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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b2cdb40481909542f2c953bbab64 |
completed | April 22, 2026, 11:36 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:47 p.m.