Triple
T36561586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سلطان المغرب |
E901851
|
entity |
| Predicate | من_أشهر_من_حمل_اللقب |
P160008
|
FINISHED |
| Object | مولاي الحسن الأول |
—
|
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: مولاي الحسن الأول | Statement: [سلطان المغرب, من_أشهر_من_حمل_اللقب, مولاي الحسن الأول]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: من_أشهر_من_حمل_اللقب Context triple: [سلطان المغرب, من_أشهر_من_حمل_اللقب, مولاي الحسن الأول]
-
A.
أولمنحملاللقب
Indicates that the subject is the first entity ever to hold or bear the specified title.
-
B.
أشهر الألقاب
chosen
Indicates that one or more entities are the most famous or widely known by certain nicknames or titles.
-
C.
occursInMonthNamedAfter
Indicates that an event or action takes place during a month whose name matches a specified month name.
-
D.
namedDuring
Indicates that an entity received its name during a specified time period or event.
-
E.
namedAfterBirthYear
Indicates that one entity is named based on, or in reference to, the birth year of 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_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.