Triple
T36561567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سلطان المغرب |
E901851
|
entity |
| Predicate | المكافئ_بالإنجليزية |
P186046
|
FINISHED |
| Object | Sultan of Morocco |
—
|
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: Sultan of Morocco | Statement: [سلطان المغرب, المكافئ_بالإنجليزية, Sultan of Morocco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المكافئ_بالإنجليزية Context triple: [سلطان المغرب, المكافئ_بالإنجليزية, Sultan of Morocco]
-
A.
awardCurrency
Indicates that one entity grants or gives a specified amount of currency to another entity.
-
B.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
C.
mayBeAwardedWith
Indicates that an entity has the potential or eligibility to receive a particular award or distinction.
-
D.
rewardBrand
Indicates that one entity grants or associates a reward with a particular brand.
-
E.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
- F. None of above. chosen
Provenance (4 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_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:11 p.m.