Triple

T6738132
Position Surface form Disambiguated ID Type / Status
Subject The New Arabs: How the Millennial Generation is Changing the Middle East E154007 entity
Predicate hasAuthorSpecialization P466 FINISHED
Object Middle East history 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: Middle East history | Statement: [The New Arabs: How the Millennial Generation is Changing the Middle East, hasAuthorSpecialization, Middle East history]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAuthorSpecialization
Context triple: [The New Arabs: How the Millennial Generation is Changing the Middle East, hasAuthorSpecialization, Middle East history]
  • A. hasSpecialist
    Indicates that one entity is associated with or assigned to a specialist entity that provides expert support, service, or oversight for it.
  • B. hasSpecialty chosen
    Indicates that an entity possesses a particular area of expertise, focus, or professional specialization.
  • C. hasAuthorType
    Indicates that an entity is associated with an author characterized by a specific role, category, or type.
  • D. hasAuthor
    Indicates that an entity is written or created by a specific author.
  • E. hasSpecial
    Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
  • 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1866dbc81909483fbd5ed6a3ec8 completed March 27, 2026, 6:50 p.m.
PD Predicate disambiguation batch_69c6d09067a0819087ed6c820f4699f8 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:10 p.m.