Triple
T23728290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igeret HaKodesh |
E586338
|
entity |
| Predicate | studiedOn |
P144795
|
FINISHED |
| Object | regular study cycles of Tanya |
—
|
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: regular study cycles of Tanya | Statement: [Igeret HaKodesh, studiedOn, regular study cycles of Tanya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiedOn Context triple: [Igeret HaKodesh, studiedOn, regular study cycles of Tanya]
-
A.
studiedDuring
chosen
Indicates that an entity engaged in study or academic activity within a specified time period or interval.
-
B.
hasBeenStudiedFor
Indicates that an entity has been the subject of research, examination, or analysis for a specified purpose, topic, or application.
-
C.
hasBeenStudiedSince
Indicates that an entity has been the subject of study or research starting from a specified point in time and continuing thereafter.
-
D.
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).
-
E.
alsoStudied
Indicates that an entity pursued additional studies in another subject, field, or institution besides a primary one.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b91740ac81908ca99de0c56f6b57 |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:09 p.m.