Triple

T5756743
Position Surface form Disambiguated ID Type / Status
Subject Parliamentary Secretary to the Ministry of Civil Aviation E126985 entity
Predicate positionNature P2435 FINISHED
Object political appointment 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: political appointment | Statement: [Parliamentary Secretary to the Ministry of Civil Aviation, positionNature, political appointment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionNature
Context triple: [Parliamentary Secretary to the Ministry of Civil Aviation, positionNature, political appointment]
  • A. hasNature chosen
    Indicates that something possesses, exhibits, or is characterized by a particular inherent quality, essence, or fundamental type.
  • B. geographicalNature
    Indicates the natural geographic characteristics or physical landscape type associated with a place or region.
  • C. positionOnScience
    Indicates the stance, viewpoint, or attitude an entity holds regarding science or scientific matters.
  • D. positionOnTreeOfLife
    Indicates the relative placement of an entity within the evolutionary hierarchy or branching structure of the tree of life.
  • E. positionOnEnvironment
    Indicates the spatial placement or location of an entity relative to a surrounding environment or surface.
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029084e108190988f1b5f38254007 completed March 22, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69c021cc68648190bb86d049ebe80f12 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:49 p.m.