Triple

T5564731
Position Surface form Disambiguated ID Type / Status
Subject Shaabi E145853 entity
Predicate hasSubgenre P3485 FINISHED
Object Mahraganat
Mahraganat is a contemporary Egyptian street music genre that blends electronic beats, folk influences, and socially charged lyrics, often associated with youth culture and urban celebrations.
 E534260 NE FINISHED

How this triple was built (4 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: Mahraganat | Statement: [Shaabi, hasSubgenre, Mahraganat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mahraganat
Context triple: [Shaabi, hasSubgenre, Mahraganat]
  • A. Mamati
    Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
  • B. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • C. Mandegusu
    Mandegusu is an alternate name for Simbo, an island in the Western Province of the Solomon Islands in the South Pacific.
  • D. Yagon
    Yagon is a coastal camping and recreation area within New South Wales’ Myall Lakes National Park, known for its beaches, dunes, and bushland setting.
  • E. Matabaan
    Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mahraganat
Triple: [Shaabi, hasSubgenre, Mahraganat]
Generated description
Mahraganat is a contemporary Egyptian street music genre that blends electronic beats, folk influences, and socially charged lyrics, often associated with youth culture and urban celebrations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mahraganat
Target entity description: Mahraganat is a contemporary Egyptian street music genre that blends electronic beats, folk influences, and socially charged lyrics, often associated with youth culture and urban celebrations.
  • A. Mamati
    Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
  • B. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • C. Mandegusu
    Mandegusu is an alternate name for Simbo, an island in the Western Province of the Solomon Islands in the South Pacific.
  • D. Yagon
    Yagon is a coastal camping and recreation area within New South Wales’ Myall Lakes National Park, known for its beaches, dunes, and bushland setting.
  • E. Matabaan
    Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
  • F. None of above. chosen

Provenance (5 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02033cc308190895f13454c57f452 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d0ca0088190a5d63139ba194e8e completed March 22, 2026, 8:11 p.m.
NEDg Description generation batch_69c04e868cc48190bdb245ba52b9b938 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f0de68c8190817b525f2d8ef327 completed March 22, 2026, 8:20 p.m.
Created at: March 22, 2026, 3:36 p.m.