Triple

T1305689
Position Surface form Disambiguated ID Type / Status
Subject Michael O'Leary E27870 entity
Predicate hasNotableRoleIn P27764 FINISHED
Object development of low-cost air travel in Europe 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: development of low-cost air travel in Europe | Statement: [Michael O'Leary, hasNotableRoleIn, development of low-cost air travel in Europe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableRoleIn
Context triple: [Michael O'Leary, hasNotableRoleIn, development of low-cost air travel in Europe]
  • A. notableHolderRole
    Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
  • B. hasNotablePosition
    Indicates that an entity holds or has held a position, role, or office considered notable or significant.
  • C. hasCapitalRole
    Indicates that an entity holds an official role, function, or status specifically associated with a capital city.
  • D. hasNotableMember
    Indicates that a group, organization, or collection includes at least one member who is distinguished or noteworthy in some significant way.
  • E. hasMainRole
    Indicates that an entity holds the primary or most significant role in relation to another entity or context.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c15490a88190872c3d2698a8f9c9 completed March 1, 2026, 10:44 p.m.
PD Predicate disambiguation batch_69a4bee9e4a88190b22ab2ee831a23c9 completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c15361c8819094b8171e780b5560 completed March 1, 2026, 10:44 p.m.
Created at: March 1, 2026, 7:51 p.m.