Triple

T10410569
Position Surface form Disambiguated ID Type / Status
Subject GIFAS E245376 entity
Predicate representsStakeholder P1553 FINISHED
Object aerospace manufacturers 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 manufacturers | Statement: [GIFAS, representsStakeholder, aerospace manufacturers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representsStakeholder
Context triple: [GIFAS, representsStakeholder, aerospace manufacturers]
  • A. hasStakeholder chosen
    Indicates that an entity is a stakeholder of another entity, typically having an interest, involvement, or influence in its activities or outcomes.
  • B. hasStakeholderType
    Indicates that an entity is associated with a stakeholder and specifies the category or role that stakeholder fulfills in relation to the entity.
  • C. representsMember
    Indicates that one entity is a member or constituent part of another entity, such as an individual belonging to a group or organization.
  • D. memberRepresents
    Indicates that one entity serves as an official representative or delegate acting on behalf of another entity within a group, organization, or body.
  • E. areRepresentedBy
    Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9fb98748190a3a6c161edd8f400 completed April 7, 2026, 11:26 a.m.
PD Predicate disambiguation batch_69d4dfb6f160819090040644a12395ec completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:09 p.m.