Triple
T6825441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kajkavian dialect |
E157002
|
entity |
| Predicate | standardLanguageRelation |
P61209
|
FINISHED |
| Object | non-standard variety relative to Standard Croatian |
—
|
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: non-standard variety relative to Standard Croatian | Statement: [Kajkavian dialect, standardLanguageRelation, non-standard variety relative to Standard Croatian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardLanguageRelation Context triple: [Kajkavian dialect, standardLanguageRelation, non-standard variety relative to Standard Croatian]
-
A.
standardLanguageOf
Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
-
B.
hasStandardLanguageRelation
chosen
Indicates that there exists a standardized linguistic relationship between two entities, such as one being the standard or reference language form for the other.
-
C.
semanticRelation
Indicates a general meaning-based connection between two entities, such as similarity, implication, or conceptual association.
-
D.
linguisticallyRelatedTo
Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
-
E.
languageCodeRelation
Indicates a relationship where one entity is associated with, identified by, or mapped to a specific language code of another entity.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d581ea5881908ba78c6bf1ce58ee |
completed | March 27, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69c6d09bb4f881909bf20c188cb3e8e1 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.