Triple

T11831175
Position Surface form Disambiguated ID Type / Status
Subject Bronze Medal of the Royal Aeronautical Society E281393 entity
Predicate organizationSectorOfPresenter P45634 FINISHED
Object aerospace 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: aerospace | Statement: [Bronze Medal of the Royal Aeronautical Society, organizationSectorOfPresenter, aerospace]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: organizationSectorOfPresenter
Context triple: [Bronze Medal of the Royal Aeronautical Society, organizationSectorOfPresenter, aerospace]
  • A. organizationTypeOfPresenter
    Indicates that the predicate specifies the type or category of organization to which the presenter belongs or that the presenter represents.
  • B. ownerSector chosen
    Indicates the sector or industry category to which the owner of an entity belongs.
  • C. presenterParentOrganization
    Indicates that an organization is the parent or overarching organization responsible for, or associated with, the presenter.
  • D. institutionTypeOfOrganizer
    Indicates the type or category of institution to which the organizer of an event or activity belongs.
  • E. presenterAffiliation
    Indicates that a presenter is formally associated with, or represents, a particular organization or institution.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62c95988190a45dbaa7001c8846 completed April 10, 2026, 7:26 a.m.
PD Predicate disambiguation batch_69d8a251fc08819095933f1d13c3b742 completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:43 p.m.