Triple

T5672489
Position Surface form Disambiguated ID Type / Status
Subject Egyptian cinema E125009 entity
Predicate distributionReach P8091 FINISHED
Object pan-Arab television 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: pan-Arab television | Statement: [Egyptian cinema, distributionReach, pan-Arab television]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distributionReach
Context triple: [Egyptian cinema, distributionReach, pan-Arab television]
  • A. distributionBy
    Indicates how something is allocated, arranged, or spread according to a specified criterion or grouping.
  • B. distributedAs
    Indicates that something is allocated, delivered, or spread out according to a particular pattern, rule, or distribution scheme.
  • C. distribution
    Indicates the act or pattern of giving, delivering, or spreading something from one source to multiple recipients or locations.
  • D. distributionStatus
    Indicates the current state or phase of how something is being distributed, such as whether distribution is planned, in progress, completed, or halted.
  • E. distributesIn chosen
    Indicates that one entity allocates or hands out something (e.g., items, resources, information) within or across a specified area, group, or context.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025303860819093e51f176babed71 completed March 22, 2026, 5:21 p.m.
PD Predicate disambiguation batch_69c021bc3894819084f37d14ba4b2644 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:43 p.m.