Triple

T22527021
Position Surface form Disambiguated ID Type / Status
Subject نهر الحب E556932 entity
Predicate سياق P36 FINISHED
Object ينتمي إلى موجة الأفلام الاجتماعية الرومانسية في مصر منتصف القرن العشرين 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: ينتمي إلى موجة الأفلام الاجتماعية الرومانسية في مصر منتصف القرن العشرين | Statement: [نهر الحب, سياق, ينتمي إلى موجة الأفلام الاجتماعية الرومانسية في مصر منتصف القرن العشرين]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: سياق
Context triple: [نهر الحب, سياق, ينتمي إلى موجة الأفلام الاجتماعية الرومانسية في مصر منتصف القرن العشرين]
  • A. contextOf
    Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
  • B. context chosen
    Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
  • C. contextSensitive
    Indicates that the relationship or behavior depends on the surrounding context or situation rather than being fixed or absolute.
  • D. contextType
    Indicates the type or category of contextual information associated with an entity or event.
  • E. contextOfComposition
    Indicates the situational, cultural, or environmental circumstances in which a composition or work was created.
  • 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.