Triple
T3099322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace After Meals |
E64675
|
entity |
| Predicate | specialZimunForm |
P45923
|
FINISHED |
| Object | Zimun with God’s name when ten adult men are present |
—
|
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: Zimun with God’s name when ten adult men are present | Statement: [Grace After Meals, specialZimunForm, Zimun with God’s name when ten adult men are present]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specialZimunForm Context triple: [Grace After Meals, specialZimunForm, Zimun with God’s name when ten adult men are present]
-
A.
firstSederNight
Indicates that the relationship or event occurs on the first night of the Passover Seder.
-
B.
secondSederNight
Indicates that the relationship or event occurs on the second night of the Passover Seder.
-
C.
hasFullSetOfPurimMitzvot
Indicates that an entity fulfills or possesses the complete set of religious commandments associated with the observance of Purim.
-
D.
hasRitualIntensityComparedToPurim
Indicates how the intensity or significance of a ritual compares relative to that of Purim.
-
E.
communion
Indicates a close, often spiritual or emotional sharing or union between entities.
- 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_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. |
| PDg | Predicate description generation | batch_69ada0f6fef48190b13898be383a246b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:03 p.m.