Triple
T36561581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سلطان المغرب |
E901851
|
entity |
| Predicate | اللقب_الديني |
P13363
|
FINISHED |
| Object | أمير المؤمنين |
—
|
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: أمير المؤمنين | Statement: [سلطان المغرب, اللقب_الديني, أمير المؤمنين]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: اللقب_الديني Context triple: [سلطان المغرب, اللقب_الديني, أمير المؤمنين]
-
A.
religiousName
chosen
Indicates that an entity has or is known by a name specifically associated with a religious role, identity, or context.
-
B.
religionName
Indicates the religious affiliation or belief system associated with an entity.
-
C.
namedForPersonReligion
Indicates that something is named after a person specifically because of that person's religious identity, role, or significance.
-
D.
أصل_ديني
Indicates a religious origin or affiliation that an entity belongs to or is derived from.
-
E.
الديانة
Indicates the religious affiliation or faith tradition that an entity follows or is associated with.
- 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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.