Triple
T30969091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | منطقة عرفة |
E789040
|
entity |
| Predicate | partOfEventSequence |
P4074
|
FINISHED |
| Object | يوم عرفة يسبق المبيت في مزدلفة |
—
|
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: يوم عرفة يسبق المبيت في مزدلفة | Statement: [منطقة عرفة, partOfEventSequence, يوم عرفة يسبق المبيت في مزدلفة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfEventSequence Context triple: [منطقة عرفة, partOfEventSequence, يوم عرفة يسبق المبيت في مزدلفة]
-
A.
partOfSeriesOfEvents
chosen
Indicates that an event is one element within a larger, ordered sequence of related events.
-
B.
sequenceInEvent
Indicates that one event occurs as a specific step or ordered part within a larger, encompassing event.
-
C.
partOfEvent
Indicates that one entity is a component, segment, or sub-activity that belongs to or occurs within a larger event.
-
D.
engagementSequence
Indicates a temporal or logical ordering of engagement-related actions or interactions, showing how one engagement step follows or leads to another.
-
E.
usesSequence
Indicates that one entity employs or relies on a specific ordered sequence of elements, steps, or events in performing an action or defining a relationship.
- 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_69ff2fbae9b48190847eefa1c227d43e |
completed | May 9, 2026, 12:59 p.m. |
| PD | Predicate disambiguation | batch_69ff2f2218048190a32224a648182b5d |
completed | May 9, 2026, 12:57 p.m. |
Created at: April 29, 2026, 8:54 p.m.