Triple
T6847091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawwal |
E157923
|
entity |
| Predicate | hasFirstDayHolidayIn |
P25817
|
FINISHED |
| Object | many Muslim-majority countries |
—
|
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: many Muslim-majority countries | Statement: [Shawwal, hasFirstDayHolidayIn, many Muslim-majority countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstDayHolidayIn Context triple: [Shawwal, hasFirstDayHolidayIn, many Muslim-majority countries]
-
A.
hasCommonHoliday
Indicates that two entities share at least one holiday that is observed or celebrated in common.
-
B.
hasHolidayCycleStart
Indicates the point in time or event at which a recurring holiday cycle begins.
-
C.
hasOfficialHoliday
Indicates that a particular date, event, or period is formally recognized as an official holiday by an authority or governing body.
-
D.
hasHolidayAssociation
Indicates a relationship where something is connected or related to a holiday, such as by theme, usage, or occurrence.
-
E.
hasRegionalHoliday
chosen
Indicates that a particular region observes or is associated with a specific holiday.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7cd0e64819097c9c211df8bce54 |
completed | March 27, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.