Triple
T22526895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بين الأطلال |
E556928
|
entity |
| Predicate | يُعد من أشهر |
P136851
|
FINISHED |
| Object | أفلام السينما العربية |
—
|
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: أفلام السينما العربية | Statement: [بين الأطلال, يُعد من أشهر, أفلام السينما العربية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُعد من أشهر Context triple: [بين الأطلال, يُعد من أشهر, أفلام السينما العربية]
-
A.
isOneOfMostProminentIn
chosen
Indicates that an entity ranks among the most notable, influential, or widely recognized members within a specified group, category, or domain.
-
B.
mostFamousBearer
Indicates that one entity is the most widely recognized or renowned individual associated with a particular name, title, or attribute compared to all other bearers of it.
-
C.
著名な運動
Indicates a relationship where something is recognized as a famous or well-known movement or campaign.
-
D.
mostFamouslyRecordedBy
Indicates that an item (such as a work, song, or performance) is best known or most widely associated with having been recorded by a particular entity.
-
E.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.