Triple
T1289451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhu al-Hijjah |
E27510
|
entity |
| Predicate | fastingRecommendedOn |
P24078
|
FINISHED |
| Object | 9 Dhu al-Hijjah for non-pilgrims |
—
|
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: 9 Dhu al-Hijjah for non-pilgrims | Statement: [Dhu al-Hijjah, fastingRecommendedOn, 9 Dhu al-Hijjah for non-pilgrims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fastingRecommendedOn Context triple: [Dhu al-Hijjah, fastingRecommendedOn, 9 Dhu al-Hijjah for non-pilgrims]
-
A.
fastingRuleVariation
chosen
Indicates a modification or alternative form of a standard fasting rule or practice.
-
B.
preparatoryFastBegins
Indicates that a required period of fasting starts in preparation for a subsequent event, action, or ritual.
-
C.
majorFastDay
Indicates that an entity is associated with a significant religious fast day observed with major or stringent fasting practices.
-
D.
nutritionType
Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
-
E.
religiousRestriction
Indicates that one entity imposes, experiences, or is subject to limitations or rules based on religious beliefs or practices in relation to another entity or 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0d4dfb081908c8825d6062b1d99 |
completed | March 1, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69a4bee41ca08190b0ad6f7ea40c0b62 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.