Triple
T15684048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Савиндан |
E380149
|
entity |
| Predicate | језик обележавања |
P100527
|
FINISHED |
| Object | српски језик |
—
|
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: српски језик | Statement: [Савиндан, језик обележавања, српски језик]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: језик обележавања Context triple: [Савиндан, језик обележавања, српски језик]
-
A.
languageOfSignage
Indicates the language used on signs or written displays associated with an entity.
-
B.
languageOfSignatures
Indicates the language in which the signatures on a document or agreement are written or expressed.
-
C.
linguisticSignificance
Indicates the degree to which something is important, influential, or meaningful within a particular language or linguistic system.
-
D.
notationLanguage
chosen
Indicates the language or symbolic system in which a notation or formal representation is expressed.
-
E.
recognizedSignLanguage
Indicates that one entity has correctly identified or understood a sign language used or produced by 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f31b5b881908e46ecd9fc6048ab |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8c856c8190882330114f9a1a5f |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:43 a.m.