Triple
T3743225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Family purity laws |
E79748
|
entity |
| Predicate | includesProhibition |
P272
|
FINISHED |
| Object | sexual intercourse during niddah |
—
|
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: sexual intercourse during niddah | Statement: [Family purity laws, includesProhibition, sexual intercourse during niddah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesProhibition Context triple: [Family purity laws, includesProhibition, sexual intercourse during niddah]
-
A.
isProhibitedFor
Indicates that a certain action, object, or condition is not allowed or is forbidden for a specified entity or group.
-
B.
prohibits
chosen
Indicates that one entity forbids or disallows another entity from performing a specific action or being in a certain state.
-
C.
notableRestriction
Indicates that there is a significant limitation, constraint, or prohibition that meaningfully affects the entity or its use.
-
D.
restrictedFromUseFor
Indicates that something is prohibited or limited from being used for a specified purpose, context, or application.
-
E.
airedIn
Indicates that a media work was broadcast or shown during a specific time period or in a particular airing context.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb576b5881908515d64c71f11a16 |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc048f28c819092bed16a95a3cac1 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.