Triple
T33968877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عبد الله بن معاوية |
E870933
|
entity |
| Predicate | اسم كامل بالعربية |
P6450
|
FINISHED |
| Object | عبد الله بن معاوية بن أبي سفيان |
—
|
NE NERFINISHED |
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: عبد الله بن معاوية بن أبي سفيان | Statement: [عبد الله بن معاوية, اسم كامل بالعربية, عبد الله بن معاوية بن أبي سفيان]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: اسم كامل بالعربية Context triple: [عبد الله بن معاوية, اسم كامل بالعربية, عبد الله بن معاوية بن أبي سفيان]
-
A.
hasNameInArabic
chosen
Indicates that an entity is associated with a specific name expressed in the Arabic language.
-
B.
hasGivenNameFormInArabic
Indicates that an entity has a specific given-name form expressed in the Arabic language.
-
C.
nameInAramaic
Indicates that an entity has a specific name expressed in the Aramaic language.
-
D.
hasNameInUrdu
Indicates that an entity is associated with a specific name expressed in the Urdu language.
-
E.
titleInArabic
Indicates that an entity’s title is expressed in the Arabic language.
- 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_69f3499ce8e88190b66e1d49ad8c7037 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:50 a.m.