Triple

T21705969
Position Surface form Disambiguated ID Type / Status
Subject Egyptian music industry E535772 entity
Predicate historicalCenterFor P145012 FINISHED
Object Arab film music 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: Arab film music | Statement: [Egyptian music industry, historicalCenterFor, Arab film music]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalCenterFor
Context triple: [Egyptian music industry, historicalCenterFor, Arab film music]
  • A. historicallyImportantCenter
    Indicates that a place has served as a significant focal point of historical events, activities, or influence.
  • B. hasMajorHistoricalCentersIn
    Indicates that an entity possesses significant, historically important centers or hubs located within a specified place or region.
  • C. hasHistoricCenterStatus
    Indicates that an entity has been designated or recognized as a historic center, typically due to its cultural, architectural, or historical significance.
  • D. isHistoricCenterOf
    Indicates that a place serves as the historically significant core or original central area of another location, typically a city or town.
  • E. hasMonumentInCenter
    Indicates that a place or area has a monument located at its central point or main focal area.
  • 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb52f64c48190b5d59561999e922f completed April 27, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69e6969113cc8190ab69855ef5667e4b completed April 20, 2026, 9:11 p.m.
PDg Predicate description generation batch_69e69b4aa2b48190830107391e81571a completed April 20, 2026, 9:31 p.m.
Created at: April 16, 2026, 6:46 p.m.