Triple
T30573821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nilovna |
E778188
|
entity |
| Predicate | appearsInLanguageForm |
P6281
|
FINISHED |
| Object | Cyrillic script |
—
|
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: Cyrillic script | Statement: [Nilovna, appearsInLanguageForm, Cyrillic script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInLanguageForm Context triple: [Nilovna, appearsInLanguageForm, Cyrillic script]
-
A.
hasLanguageFormOf
Indicates that one entity is a specific linguistic form, expression, or realization of the language used by another entity.
-
B.
presentedInLanguage
Indicates that something (such as content, information, or a work) is expressed or made available using a particular language.
-
C.
isOfficialLanguageFormFor
Indicates that one language form is the officially recognized or standard variant used for another language or linguistic entity.
-
D.
languageForm
chosen
Indicates the specific linguistic form or expression in which something is conveyed or represented.
-
E.
usedInLanguage
Indicates that something (such as a word, expression, or symbol) is employed or occurs within a particular language.
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 29, 2026, 8:22 p.m.