Triple

T36011906
Position Surface form Disambiguated ID Type / Status
Subject Terrafugia E1041733 entity
Predicate regulatoryCategoryTarget P148432 FINISHED
Object Light Sport Aircraft 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: Light Sport Aircraft | Statement: [Terrafugia, regulatoryCategoryTarget, Light Sport Aircraft]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatoryCategoryTarget
Context triple: [Terrafugia, regulatoryCategoryTarget, Light Sport Aircraft]
  • A. regulatoryTarget
    Indicates that one entity is subject to control, influence, or governance by another entity under a regulatory or rule-based framework.
  • B. categoryForRegulation chosen
    Indicates that something is assigned to a specific regulatory category or classification for the purposes of applying rules or controls.
  • C. regulatoryType
    Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
  • D. regulatoryAudience
    Indicates that something is intended for, directed toward, or relevant to a regulatory body or oversight authority as its audience.
  • E. regulatoryField
    Indicates that one entity operates within, is governed by, or is associated with a particular area or domain of regulation defined by 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_69f76e2b981881908e4e160607fa82eb completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fdd07a34c08190982b8c61c2775cf6 completed May 8, 2026, noon
PD Predicate disambiguation batch_69fdbd25c7908190b72fca8de7ce503f completed May 8, 2026, 10:38 a.m.
Created at: May 3, 2026, 4:07 p.m.