Triple
T2998687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purim Katan |
E81132
|
entity |
| Predicate | hasObligationOfMatanotLaEvyonim |
P44941
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Purim Katan, hasObligationOfMatanotLaEvyonim, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasObligationOfMatanotLaEvyonim Context triple: [Purim Katan, hasObligationOfMatanotLaEvyonim, false]
-
A.
allowsLentenDispensation
Indicates that an authority grants an exemption from standard Lenten obligations or restrictions.
-
B.
obligationCondition
Indicates that one situation or state serves as the condition under which an obligation for an entity becomes active or must be fulfilled.
-
C.
hasCharitySingle
Indicates that an entity is associated with exactly one specific charitable organization or charitable initiative.
-
D.
mayBeGivenTo
Indicates that something is permitted or eligible to be transferred, assigned, or provided from one entity to another.
-
E.
halachicCategory
Indicates the classification of something according to Jewish legal (halachic) categories or rulings.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f766408190a5591efce8346bb9 |
completed | March 8, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69ad9615fefc8190ad96da92519cb7a3 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97ba55dc8190b6dddddfb751cf64 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 8, 2026, 2:59 p.m.