Triple
T36561566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سلطان المغرب |
E901851
|
entity |
| Predicate | المكافئ_بالفرنسية |
P154365
|
FINISHED |
| Object | Sultan du Maroc |
—
|
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 du Maroc | Statement: [سلطان المغرب, المكافئ_بالفرنسية, Sultan du Maroc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المكافئ_بالفرنسية Context triple: [سلطان المغرب, المكافئ_بالفرنسية, Sultan du Maroc]
-
A.
awardCurrency
Indicates that one entity grants or gives a specified amount of currency to another entity.
-
B.
containsFrenchPhrases
chosen
Indicates that the subject includes one or more phrases expressed in the French language.
-
C.
distinguéDe
Indicates that one entity is distinguished from or set apart as different from another entity.
-
D.
bonusCategory
Indicates the classification or type of bonus associated with an entity or transaction.
-
E.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
- 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.