Triple
T31248429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ספר בראשית |
E796750
|
entity |
| Predicate | מספר חלקים מסורתיים |
P92389
|
FINISHED |
| Object | 12 פרשיות פתוחות וסתומות עיקריות (חלוקה מסורתית פנימית) |
—
|
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: 12 פרשיות פתוחות וסתומות עיקריות (חלוקה מסורתית פנימית) | Statement: [ספר בראשית, מספר חלקים מסורתיים, 12 פרשיות פתוחות וסתומות עיקריות (חלוקה מסורתית פנימית)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מספר חלקים מסורתיים Context triple: [ספר בראשית, מספר חלקים מסורתיים, 12 פרשיות פתוחות וסתומות עיקריות (חלוקה מסורתית פנימית)]
-
A.
عدد المقاطع
chosen
Indicates the number of segments or parts into which something is divided.
-
B.
جزء خمسه
Indicates that something constitutes one-fifth (a fifth part) of something else.
-
C.
סיבת זכייה
Indicates the reason or cause for which an entity wins or is awarded something.
-
D.
عدد الحروف
Indicates the relationship that specifies the number of letters contained in a given word or text.
-
E.
תקופת חיים משוערת
Indicates an estimated or approximate time period during which the entity existed or was alive.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:11 p.m.