Triple
T33791986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | يعقوب المنصور الموحدي |
E865954
|
entity |
| Predicate | عُرف_بـ |
P85915
|
FINISHED |
| Object | قوته العسكرية |
—
|
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: قوته العسكرية | Statement: [يعقوب المنصور الموحدي, عُرف_بـ, قوته العسكرية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: عُرف_بـ Context triple: [يعقوب المنصور الموحدي, عُرف_بـ, قوته العسكرية]
-
A.
известенКак
chosen
Indicates that one entity is known or recognized by a particular name, title, or role.
-
B.
bekanntFür
Indicates that one entity is known or recognized for a particular quality, achievement, work, or characteristic associated with another entity.
-
C.
известенС
Indicates that one entity is known or recognized by another entity.
-
D.
knownInIslamAs
Indicates that an entity is referred to by a particular name, title, or designation specifically within the context of Islam or Islamic tradition.
-
E.
knewAs
Indicates that one entity was acquainted with or recognized another entity under a particular identity, name, or role.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.