Triple
T26172796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عبد القادر الجيلاني |
E654453
|
entity |
| Predicate | أشهر الألقاب |
P160008
|
FINISHED |
| Object | باز الله الأشهب |
—
|
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: باز الله الأشهب | Statement: [عبد القادر الجيلاني, أشهر الألقاب, باز الله الأشهب]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أشهر الألقاب Context triple: [عبد القادر الجيلاني, أشهر الألقاب, باز الله الأشهب]
-
A.
أشهر الألقاب
chosen
Indicates that one or more entities are the most famous or widely known by certain nicknames or titles.
-
B.
السمعة
Indicates the reputation or public perception associated with an entity based on others’ opinions or past actions.
-
C.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
-
D.
من أعلامه
Indicates that something or someone is among the notable figures, landmarks, or distinguishing symbols associated with a particular entity (such as a place, field, or group).
-
E.
أولمنحملاللقب
Indicates that the subject is the first entity ever to hold or bear the specified title.
- 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c4485748190aff17798bca51406 |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 8:36 p.m.