Triple
T25752038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitnagdic Judaism |
E648490
|
entity |
| Predicate | keyInstitutionType |
P15066
|
FINISHED |
| Object | yeshiva |
—
|
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: yeshiva | Statement: [Mitnagdic Judaism, keyInstitutionType, yeshiva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyInstitutionType Context triple: [Mitnagdic Judaism, keyInstitutionType, yeshiva]
-
A.
hasKeyInstitutionType
chosen
Indicates that an entity is associated with a specific type or category of key institution.
-
B.
governsInstitutionType
Indicates that an entity has authoritative control or regulatory oversight over a particular type or category of institution.
-
C.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
D.
insuredInstitutionType
Indicates the type or category of institution that is covered under an insurance arrangement or policy.
-
E.
centralInstitutionOf
Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
- 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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd7fe0908190904d919f24df7e97 |
completed | May 2, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 4:36 a.m.