Triple
T34424730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daf Yomi cycle |
E883636
|
entity |
| Predicate | studyFrequency |
P171897
|
FINISHED |
| Object | daily |
—
|
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: daily | Statement: [Daf Yomi cycle, studyFrequency, daily]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studyFrequency Context triple: [Daf Yomi cycle, studyFrequency, daily]
-
A.
oftenStudiedBetween
Indicates that something is frequently examined, researched, or analyzed in relation to two or more entities.
-
B.
typicalStudyMode
Indicates the usual or most common way in which an entity conducts or experiences a study or learning activity.
-
C.
studyUnit
Indicates a relationship where an entity is a unit, module, or component of study within a broader course, curriculum, or learning program.
-
D.
usualFrequency
chosen
Indicates how often an action, event, or relationship typically occurs within a given time frame.
-
E.
examSessionFrequency
Indicates how often an exam session occurs within a given period or schedule.
- 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_69f349c3dd2c819092cc9e64809f4a42 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2 a.m.