Triple
T20499697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ملكة الأردن |
E503266
|
entity |
| Predicate | يُمنح وفق |
P140320
|
FINISHED |
| Object | الزواج من الملك الحاكم |
—
|
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: الزواج من الملك الحاكم | Statement: [ملكة الأردن, يُمنح وفق, الزواج من الملك الحاكم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُمنح وفق Context triple: [ملكة الأردن, يُمنح وفق, الزواج من الملك الحاكم]
-
A.
awardedForToReceive
Indicates that an entity is granted an award or recognition in order to receive it for a specific reason, achievement, or qualifying basis.
-
B.
يمنحاللقبمن
Indicates that one entity grants or bestows a title upon another entity.
-
C.
grantedAsRewardFor
Indicates that something is given to an entity specifically as a reward for a particular action, achievement, or service.
-
D.
canBeAwardedTo
Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
-
E.
givenFor
Indicates that something is provided, offered, or assigned in favor of or on behalf of a particular entity or purpose.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cc10cd08190915b6c29c6473f77 |
completed | April 20, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:35 a.m.