Triple
T30969157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ركن الوقوف بعرفة |
E789042
|
entity |
| Predicate | hasTimeRange |
P98199
|
FINISHED |
| Object | من زوال شمس يوم عرفة إلى طلوع فجر يوم النحر عند كثير من الفقهاء |
—
|
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: من زوال شمس يوم عرفة إلى طلوع فجر يوم النحر عند كثير من الفقهاء | Statement: [ركن الوقوف بعرفة, hasTimeRange, من زوال شمس يوم عرفة إلى طلوع فجر يوم النحر عند كثير من الفقهاء]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimeRange Context triple: [ركن الوقوف بعرفة, hasTimeRange, من زوال شمس يوم عرفة إلى طلوع فجر يوم النحر عند كثير من الفقهاء]
-
A.
hasPeriodRange
chosen
Indicates that there is a temporal span or interval during which something is valid, active, or applicable.
-
B.
hasTimeOptions
Indicates that an entity is associated with one or more selectable time choices or configurations.
-
C.
hasRange
Indicates that a property or relation is constrained to take its values from a specified class, type, or value set.
-
D.
hasTimeComponent
Indicates that something includes, is associated with, or is characterized by a specific temporal aspect or time-related element.
-
E.
isSetInTimePeriod
Indicates that an event, story, or situation takes place within a specified time period.
- 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_69f224c3a6b48190951add9b7b7f0271 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: April 29, 2026, 8:54 p.m.