Triple
T33932025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | يزيد بن معاوية |
E869920
|
entity |
| Predicate | سبب الجدل حوله |
P52533
|
FINISHED |
| Object | طريقة توليته بالعهد من أبيه معاوية |
—
|
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: طريقة توليته بالعهد من أبيه معاوية | Statement: [يزيد بن معاوية, سبب الجدل حوله, طريقة توليته بالعهد من أبيه معاوية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: سبب الجدل حوله Context triple: [يزيد بن معاوية, سبب الجدل حوله, طريقة توليته بالعهد من أبيه معاوية]
-
A.
controversialBecause
chosen
Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
-
B.
controversy
Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
-
C.
controversyType
Indicates the specific kind or category of controversy associated with an entity or situation.
-
D.
debatedAsCauseOf
Indicates that one entity is discussed or argued over as a possible cause or origin of another entity.
-
E.
debatedWithin
Indicates that something is discussed or argued about within a particular group, context, or domain.
- 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_69f3499a59788190bff762a891471b31 |
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, 1:49 a.m.