Triple
T29725234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ספר דברים |
E752161
|
entity |
| Predicate | נושא מרכזי |
P12980
|
FINISHED |
| Object | נאומי פרידה של משה לעם ישראל |
—
|
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: נאומי פרידה של משה לעם ישראל | Statement: [ספר דברים, נושא מרכזי, נאומי פרידה של משה לעם ישראל]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: נושא מרכזי Context triple: [ספר דברים, נושא מרכזי, נאומי פרידה של משה לעם ישראל]
-
A.
primaryTopicOf
chosen
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
B.
topicOfDiscourse
Indicates that something serves as the subject or focus of a particular discussion, conversation, or communicative act.
-
C.
موضوع_رئيس
Indicates that one entity serves as the main or primary subject/topic in relation to another entity.
-
D.
topicOfDialogue
Indicates that a particular subject or theme is the main focus of a dialogue or conversation between entities.
-
E.
tacklesTheme
Indicates that one entity addresses, explores, or deals with a particular theme as a central subject.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672ff16a08190b8840351bef56f55 |
completed | May 2, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:38 p.m.