Triple
T30523765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State University of Applied Sciences in Krosno |
E776772
|
entity |
| Predicate | hasLevelInISCED |
P124790
|
FINISHED |
| Object | ISCED level 6 |
—
|
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: ISCED level 6 | Statement: [State University of Applied Sciences in Krosno, hasLevelInISCED, ISCED level 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLevelInISCED Context triple: [State University of Applied Sciences in Krosno, hasLevelInISCED, ISCED level 6]
-
A.
hasSecondarySchoolLevel
Indicates that an entity possesses or is associated with a level of education corresponding to secondary school.
-
B.
governsLevelOfEducation
Indicates that one entity has authority or control over determining the level or standard of education provided to another entity.
-
C.
educationLevelCharacteristic
Indicates that one entity specifies, describes, or constrains the education level associated with another entity.
-
D.
educationStatus
Indicates the current or achieved level, stage, or condition of an entity’s formal education.
-
E.
hasHigherEducationType
chosen
Indicates that one entity has a specified type or category of higher education associated with it.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: April 29, 2026, 8:17 p.m.