Triple

T25579051
Position Surface form Disambiguated ID Type / Status
Subject Jet Aviation E641188 entity
Predicate hasOperationalPresenceIn P17483 FINISHED
Object Europe NE NERFINISHED

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: Europe | Statement: [Jet Aviation, hasOperationalPresenceIn, Europe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOperationalPresenceIn
Context triple: [Jet Aviation, hasOperationalPresenceIn, Europe]
  • A. hasCorporatePresence chosen
    Indicates that an organization maintains an official operational or business presence (such as offices, facilities, or legal registration) in a particular location or context.
  • B. hasBaseOfOperations
    Indicates that an entity uses a particular location as its primary place of operation or activity.
  • C. hasInstitutionalPresenceIn
    Indicates that an institution maintains an established presence, such as operations, offices, or activities, within a specified location or region.
  • D. hasBrandPresence
    Indicates that an entity maintains an official or recognizable representation (such as branding, marketing, or products) within a particular context, location, or platform.
  • E. isOperatedIn
    Indicates that an entity carries out its operations or activities within a specified location, region, or jurisdiction.
  • 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_69e75dc281bc819095ec04dc0c3a94d0 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
PD Predicate disambiguation batch_69f63c6456608190b94e7c2e2c2a4824 completed May 2, 2026, 6:03 p.m.
Created at: April 21, 2026, 4:03 p.m.