סִיוָן
E67650
סִיוָן הוא השם העברי לחודש השלישי בלוח השנה העברי, שבו חל לרוב חג השבועות.
All labels observed (1)
| Label | Occurrences |
|---|---|
| סִיוָן canonical | 1 |
Statements (68)
| Predicate | Object |
|---|---|
| instanceOf |
חודש עברי
ⓘ
יחידת זמן ⓘ |
| associatedHoliday | חג השבועות ⓘ |
| calendar | הלוח העברי ⓘ |
| calendarType | לוח ירחי־שמשי ⓘ |
| correspondsRoughlyToGregorianMonths |
יוני
ⓘ
מאי ⓘ |
| follows | אייר ⓘ |
| hasLetterNumberInYear |
10
ⓘ
11 ⓘ 12 ⓘ 13 ⓘ 14 ⓘ 15 ⓘ 16 ⓘ 17 ⓘ 18 ⓘ 19 ⓘ 20 ⓘ 21 ⓘ 22 ⓘ 23 ⓘ 24 ⓘ 25 ⓘ 26 ⓘ 27 ⓘ 28 ⓘ 29 ⓘ 30 ⓘ 31 ⓘ 32 ⓘ 33 ⓘ 34 ⓘ 35 ⓘ 36 ⓘ 37 ⓘ 38 ⓘ 39 ⓘ 40 ⓘ 41 ⓘ 42 ⓘ 43 ⓘ 44 ⓘ 45 ⓘ 46 ⓘ 47 ⓘ 48 ⓘ 49 ⓘ 50 ⓘ 51 ⓘ 52 ⓘ 53 ⓘ 54 ⓘ 55 ⓘ 56 ⓘ 57 ⓘ 58 ⓘ 59 ⓘ 60 ⓘ 9 ⓘ |
| language | עברית ⓘ |
| positionInHebrewCalendar | 3 ⓘ |
| precedes | תמוז ⓘ |
| scriptOfName |
Hebrew alphabet
ⓘ
surface form:
אלפבית עברי
|
| seasonInIsrael |
סוף האביב
ⓘ
תחילת הקיץ ⓘ |
| typicalLengthDays | 30 ⓘ |
| writingDirectionOfName | ימין־לשמאל ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: סִיוָן Description of subject: סִיוָן הוא השם העברי לחודש השלישי בלוח השנה העברי, שבו חל לרוב חג השבועות.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.