Triple
T22526906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بين الأطلال |
E556928
|
entity |
| Predicate | يُصنف ضمن |
P24573
|
FINISHED |
| Object | أفلام الأبيض والأسود المصرية |
—
|
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 الأبيض والأسود المصرية | Statement: [بين الأطلال, يُصنف ضمن, أفلام الأبيض والأسود المصرية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُصنف ضمن Context triple: [بين الأطلال, يُصنف ضمن, أفلام الأبيض والأسود المصرية]
-
A.
areClassifiedBy
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
-
B.
classificationIncludes
Indicates that a broader classification category encompasses or contains a specified subclass, member, or element within its scope.
-
C.
isClassifiedUnder
chosen
Indicates that one entity is categorized or grouped within a broader class, type, or category represented by another entity.
-
D.
classificationAccordingTo
Indicates that an entity is assigned a particular class, type, or category as defined or determined by a specified source, standard, or authority.
-
E.
supportsClassification
Indicates that one entity provides the capability or functionality needed for another entity to perform or maintain a specific classification.
- 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.