Triple
T36001752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | العرش |
E1041149
|
entity |
| Predicate | مرتبط_باليوم_الآخر |
P125958
|
FINISHED |
| Object | من حيث ذكر ظل العرش لبعض العباد |
—
|
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 حيث ذكر ظل العرش لبعض العباد | Statement: [العرش, مرتبط_باليوم_الآخر, من حيث ذكر ظل العرش لبعض العباد]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مرتبط_باليوم_الآخر Context triple: [العرش, مرتبط_باليوم_الآخر, من حيث ذكر ظل العرش لبعض العباد]
-
A.
مرتبطب
chosen
Indicates a relationship of being connected, associated, or related to something or someone.
-
B.
followsDayInLifeOf
Indicates a relationship where one entity (such as a work or narrative) tracks or portrays the typical daily activities and experiences of another entity over the course of a day.
-
C.
dayAssociation
Indicates an association between entities based on a specific day or days, such as occurrence, relevance, or scheduling tied to that day.
-
D.
laterRelationWith
Indicates that one entity stands in a temporal relationship to another such that it occurs or exists at a later time than the other.
-
E.
finalDay
Indicates that a given day is the last or concluding day within a specified period, event, or sequence.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:07 p.m.