Triple
T34424718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daf Yomi cycle |
E883636
|
entity |
| Predicate | studyUnit |
P178934
|
FINISHED |
| Object | one daf per day |
—
|
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: one daf per day | Statement: [Daf Yomi cycle, studyUnit, one daf per day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studyUnit Context triple: [Daf Yomi cycle, studyUnit, one daf per day]
-
A.
study
Indicates engaging in a systematic effort to learn, understand, or investigate a subject or object.
-
B.
teachingUnit
Indicates that one entity functions as an instructional or educational unit used for teaching another entity.
-
C.
studiesFor
Indicates that one entity engages in studying or academic preparation with the purpose of achieving or supporting another entity (such as a goal, exam, or qualification).
-
D.
studySite
Indicates the location or setting where a study, experiment, or research activity is conducted.
-
E.
stillStudiedAs
Indicates that something continues to be the subject of study or research at the present time.
- 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_69f349c3dd2c819092cc9e64809f4a42 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f719458378819081725f544efb1173 |
completed | May 3, 2026, 9:45 a.m. |
Created at: May 1, 2026, 2 a.m.