Triple
T28555018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bagrut |
E722980
|
entity |
| Predicate | minimumUnitsForCertificate |
P166487
|
FINISHED |
| Object | generally 21 study units |
—
|
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: generally 21 study units | Statement: [Bagrut, minimumUnitsForCertificate, generally 21 study units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumUnitsForCertificate Context triple: [Bagrut, minimumUnitsForCertificate, generally 21 study units]
-
A.
minimumInstitutionalMembershipRequirement
Indicates the lowest level or amount of institutional membership that must be met for the related condition, status, or participation to be valid.
-
B.
hasMinimumCourseLength
Indicates that there is a required minimum duration or length that a course must meet or exceed.
-
C.
minimumDistanceRequirement
Indicates that there is a required minimum distance that must be maintained between the related entities.
-
D.
minimumGrant
Indicates that there is a lowest allowable or required amount of a grant associated with an entity or agreement.
-
E.
requiresMinimumScore
Indicates that one entity can only be obtained, accessed, or considered valid if another entity’s score meets or exceeds a specified minimum threshold.
- F. None of above. chosen
Provenance (4 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 28, 2026, 3:45 a.m.