Triple
T10539011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | معاوية بن أبي سفيان |
E248646
|
entity |
| Predicate | المنصب |
P38167
|
FINISHED |
| Object | أول خلفاء الدولة الأموية |
—
|
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: أول خلفاء الدولة الأموية | Statement: [معاوية بن أبي سفيان, المنصب, أول خلفاء الدولة الأموية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المنصب Context triple: [معاوية بن أبي سفيان, المنصب, أول خلفاء الدولة الأموية]
-
A.
leadershipPosition
Indicates that one entity holds a role of authority, guidance, or decision-making responsibility over others within an organization, group, or context.
-
B.
typeOfOffice
Indicates the specific category or kind of office that an office entity belongs to (e.g., executive, legislative, judicial, or other office types).
-
C.
oneOfTheGreatOfficesOfState
Indicates that the entity holds or pertains to one of the highest-ranking senior government positions traditionally recognized as the Great Offices of State.
-
D.
positionInaugurated
Indicates that a person formally assumed a specific position or office at a particular point in time.
-
E.
titleOrRole
chosen
Indicates that one entity serves as the title, position, or role held or described by another entity.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a5730d88190b266a940faf53f65 |
completed | April 7, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69d4fb9729288190a0149f127acd7ae3 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:31 p.m.