Triple
T26732391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alawis |
E674007
|
entity |
| Predicate | doNotStrictlyObserve |
P56696
|
FINISHED |
| Object | Ramadan fasting in mainstream form |
—
|
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: Ramadan fasting in mainstream form | Statement: [Alawis, doNotStrictlyObserve, Ramadan fasting in mainstream form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doNotStrictlyObserve Context triple: [Alawis, doNotStrictlyObserve, Ramadan fasting in mainstream form]
-
A.
notEnforcedBy
chosen
Indicates that a rule, policy, or obligation is not upheld, imposed, or carried out by the referenced enforcing entity.
-
B.
notObservedBy
Indicates that an entity, event, or condition is not detected, recorded, or perceived by a specified observer or observation process.
-
C.
doesNotConsider
Indicates that one entity fails or chooses not to take another entity or factor into account when forming judgments, decisions, or actions.
-
D.
doesNotTry
Indicates that an entity makes no attempt to perform a particular action or engage in a specified activity.
-
E.
notObservedIn
Indicates that a particular entity, event, or property has not been detected, recorded, or seen within a specified context, dataset, or environment.
- 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_69eecda57ab481909424e98f2835e7d8 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 3:45 a.m.