Triple
T1205613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziegler School of Rabbinic Studies |
E25880
|
entity |
| Predicate | ordinationType |
P14628
|
FINISHED |
| Object | rabbinic ordination |
—
|
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: rabbinic ordination | Statement: [Ziegler School of Rabbinic Studies, ordinationType, rabbinic ordination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ordinationType Context triple: [Ziegler School of Rabbinic Studies, ordinationType, rabbinic ordination]
-
A.
ordination
chosen
Indicates the formal conferral of religious authority or office upon a person within a religious tradition.
-
B.
orderType
Indicates the specific category or classification of an order, such as its purpose, channel, or processing method.
-
C.
admissionType
Indicates the category or manner in which an entity (such as a person or case) is formally accepted or admitted into a system, institution, or process.
-
D.
admissionOrder
Indicates the sequence or priority in which admissions occur or are processed relative to one another.
-
E.
obligationType
Indicates the specific kind or category of duty, requirement, or commitment that applies within an obligation relationship.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc0f8d08190b340012a9eb26275 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5ed2b88190aab992913957e1cf |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.