Triple
T31248452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ספר בראשית |
E796750
|
entity |
| Predicate | מסתיים ב |
P171479
|
FINISHED |
| Object | מות יוסף במצרים |
—
|
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: מות יוסף במצרים | Statement: [ספר בראשית, מסתיים ב, מות יוסף במצרים]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מסתיים ב Context triple: [ספר בראשית, מסתיים ב, מות יוסף במצרים]
-
A.
B2
Indicates a secondary or alternative relationship between two entities, often representing a variant, backup, or subordinate connection to a primary relation.
-
B.
B_2
Indicates a secondary or alternative type of binary relationship between two entities, often used as a variant or refinement of a primary relation B.
-
C.
בת
Indicates a parent–child relationship where one entity is the daughter of another entity.
-
D.
B_3
Indicates that one entity is the third in a sequence, group, or ordered relation with respect to another entity.
-
E.
isMidterm
Indicates that an event, exam, or assessment occurs in the middle portion of an academic term or course.
- F. None of above. chosen
Provenance (4 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 29, 2026, 9:11 p.m.