Triple
T33663430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | السابقون |
E862416
|
entity |
| Predicate | يُفهم_من_وصفهم |
P83329
|
FINISHED |
| Object | المسابقة إلى الخيرات |
—
|
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: المسابقة إلى الخيرات | Statement: [السابقون, يُفهم_من_وصفهم, المسابقة إلى الخيرات]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُفهم_من_وصفهم Context triple: [السابقون, يُفهم_من_وصفهم, المسابقة إلى الخيرات]
-
A.
describedFrom
Indicates that something is characterized, explained, or defined based on information, perspective, or features originating from a particular source or reference point.
-
B.
وصفه
Indicates that one entity describes, characterizes, or portrays another entity.
-
C.
understands
Indicates that one entity comprehends, grasps the meaning of, or correctly interprets information, ideas, or expressions associated with another entity.
-
D.
areUnderdescribed
Indicates that the entities lack sufficient detail or explanation relative to what is needed or expected.
-
E.
canBeUnderstoodBy
chosen
Indicates that something is comprehensible or interpretable to a particular entity or group.
- 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fa36f640819098051eff7e5a5787 |
completed | May 3, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:42 a.m.