Triple
T19168681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladimir Ružić |
E469254
|
entity |
| Predicate | hasLanguageBackground |
P95982
|
FINISHED |
| Object | 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: Croatian | Statement: [Vladimir Ružić, hasLanguageBackground, Croatian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageBackground Context triple: [Vladimir Ružić, hasLanguageBackground, Croatian]
-
A.
hasWorkedInLanguage
Indicates that an entity has performed work or professional activities using a particular language.
-
B.
hasAcademicBackgroundIn
Indicates that an entity possesses formal education, training, or scholarly experience in a specified academic field or discipline.
-
C.
hasLanguageOfStudy
Indicates that an entity studies or is engaged in learning a particular language.
-
D.
hasContactWithLanguage
chosen
Indicates that an entity has some form of interaction, exposure, or engagement with a particular language.
-
E.
languageBranchStudied
Indicates that a person studies or has studied a particular branch or subgroup of a 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16132e081908c6b8d576163316e |
completed | April 20, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b83d6881908e6271c620f74100 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.