Triple

T38635834
Position Surface form Disambiguated ID Type / Status
Subject Autopilot deployment profile E937569 entity
Predicate scopeOfAssignment P25607 FINISHED
Object device-based 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: device-based | Statement: [Autopilot deployment profile, scopeOfAssignment, device-based]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scopeOfAssignment
Context triple: [Autopilot deployment profile, scopeOfAssignment, device-based]
  • A. scopeOfReference
    Indicates the range or domain of things, concepts, or entities to which a reference, statement, or expression applies.
  • B. scopeOfProvision
    Indicates the extent, boundaries, or range of services, resources, or obligations that are supplied or made available under a particular arrangement or context.
  • C. scopeType chosen
    Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
  • D. scopeDefinedBy
    Indicates that the extent or boundaries of one entity’s applicability, influence, or validity are determined or constrained by another entity.
  • E. obligationScope
    Indicates that an obligation applies within a specified scope, context, or domain that constrains where or to what the obligation pertains.
  • 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_69f76ed5ca3c81909288f61fbf37b359 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdb0de8c08190928cd1323f80ab5c completed May 7, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69fcd9017dd88190b32a73fe78909740 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:32 p.m.