Triple
T635427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabbinic Judaism |
E16610
|
entity |
| Predicate | practiceFeature |
P12146
|
FINISHED |
| Object | Observance of 613 commandments as interpreted by rabbis |
—
|
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: Observance of 613 commandments as interpreted by rabbis | Statement: [Rabbinic Judaism, practiceFeature, Observance of 613 commandments as interpreted by rabbis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: practiceFeature Context triple: [Rabbinic Judaism, practiceFeature, Observance of 613 commandments as interpreted by rabbis]
-
A.
practice
Indicates that an entity regularly performs an activity or skill, typically to improve proficiency or maintain competence.
-
B.
practiceType
Indicates the specific kind or category of practice associated with an entity or activity.
-
C.
featureType
Indicates the specific kind or category of feature that characterizes or distinguishes an entity.
-
D.
typicalPractice
chosen
Indicates that an action, behavior, or method is commonly or customarily done in a given context or by a given group.
-
E.
featuresAction
Indicates that one entity includes, presents, or showcases a particular action as a notable characteristic or component.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee667f08190a0332b8f6c569e1a |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d0483908190a5ec42a7403c258e |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.