Triple
T10877597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | חול המועד |
E256838
|
entity |
| Predicate | דיני נישואין בו |
P96196
|
FINISHED |
| Object | אין נישאים בחול המועד לפי רוב הפוסקים |
—
|
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: אין נישאים בחול המועד לפי רוב הפוסקים | Statement: [חול המועד, דיני נישואין בו, אין נישאים בחול המועד לפי רוב הפוסקים]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: דיני נישואין בו Context triple: [חול המועד, דיני נישואין בו, אין נישאים בחול המועד לפי רוב הפוסקים]
-
A.
marriageResolvedBy
Indicates that a marital relationship between two parties has been formally concluded or dissolved through a specific resolving action or process (e.g., divorce, annulment).
-
B.
marriedToJusticeOf
Indicates that a person is legally married to a specific justice (such as a judge or judicial officer).
-
C.
marriageDocumentedIn
Indicates that a marriage event is recorded or evidenced in a specific document or source.
-
D.
marries
Indicates that one entity enters into a legally or socially recognized marital union with another entity.
-
E.
marriageProvision
Indicates that one party provides for, supports, or makes arrangements related to another party’s marriage (such as financial, legal, or material provisions).
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751ad8cdc819093eafaf12fc23b15 |
completed | April 9, 2026, 7:13 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101de31c819090707635f6790559 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:21 p.m.