Triple

T30481356
Position Surface form Disambiguated ID Type / Status
Subject Riyadh Air E775595 entity
Predicate chiefExecutiveOfficerStart P169487 FINISHED
Object 2023 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: 2023 | Statement: [Riyadh Air, chiefExecutiveOfficerStart, 2023]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: chiefExecutiveOfficerStart
Context triple: [Riyadh Air, chiefExecutiveOfficerStart, 2023]
  • A. coChiefExecutiveOfficerOf
    Indicates that a person jointly holds the top executive leadership position of a company or organization, sharing chief executive officer responsibilities with one or more others.
  • B. chiefFinancialOfficerOf
    Indicates that one entity holds the position of chief financial officer (CFO) within the organization represented by the other entity.
  • C. chiefRevenueOfficerOf
    Indicates that a person holds the position of chief revenue officer within a specified organization, responsible for overseeing and driving its revenue-generating activities.
  • D. hasChiefAdministrativeOfficer
    Indicates that one entity serves as the chief administrative officer (the top executive responsible for overall administration and management) of another entity.
  • E. underlyingCompanyCEOAtFormation
    Indicates that a person was the CEO of the underlying company at the time the company was formed.
  • 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_69f22497341481909c21ba329fadaa6b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f687415610819081818d08f7c79a81 completed May 2, 2026, 11:22 p.m.
PD Predicate disambiguation batch_69f678d2196c8190b9d0d2fcd47cc539 completed May 2, 2026, 10:21 p.m.
PDg Predicate description generation batch_69f67d31cc60819084f64bd056e1ea4d completed May 2, 2026, 10:39 p.m.
Created at: April 29, 2026, 8:12 p.m.