Triple
T3099253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selichot |
E64674
|
entity |
| Predicate | recitationTime |
P6833
|
FINISHED |
| Object | period before Rosh Hashanah |
—
|
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: period before Rosh Hashanah | Statement: [Selichot, recitationTime, period before Rosh Hashanah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recitationTime Context triple: [Selichot, recitationTime, period before Rosh Hashanah]
-
A.
recitationRecommendedAfter
Indicates that one item is advised or suggested to be recited after another in a recommended sequence.
-
B.
recitationRecommended
Indicates that a particular recitation session or section is recommended for an entity, such as a student or course.
-
C.
recitationTradition
Indicates a relationship where a text, work, or content is transmitted or performed according to a particular established style, method, or lineage of recitation.
-
D.
examTime
Indicates the scheduled time at which an exam is to take place.
-
E.
typicalTimes
chosen
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada269a9188190aada5b3799d4dfd7 |
completed | March 8, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69ad9df06ed88190809f0683122caa5a |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:03 p.m.