Triple
T21648911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | עלייה בסערה השמיימה |
E534285
|
entity |
| Predicate | נושא ל |
P142219
|
FINISHED |
| Object | פרשנות יהודית מסורתית |
—
|
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: פרשנות יהודית מסורתית | Statement: [עלייה בסערה השמיימה, נושא ל, פרשנות יהודית מסורתית]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: נושא ל Context triple: [עלייה בסערה השמיימה, נושא ל, פרשנות יהודית מסורתית]
-
A.
topicOfDialogue
Indicates that a particular subject or theme is the main focus of a dialogue or conversation between entities.
-
B.
titleSubjectOf
chosen
Indicates that a title (such as a book, article, or work) is about or primarily concerns a particular subject.
-
C.
topicMustBe
Indicates that a subject is required to have or be associated with a specific topic as a mandatory condition.
-
D.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
-
E.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59131c88819082df8e5b87f5954b |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:35 p.m.