Triple

T30142503
Position Surface form Disambiguated ID Type / Status
Subject wordmark quattro E766165 entity
Predicate appliesToTechnology P195139 FINISHED
Object permanent all-wheel drive systems 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: permanent all-wheel drive systems | Statement: [wordmark quattro, appliesToTechnology, permanent all-wheel drive systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesToTechnology
Context triple: [wordmark quattro, appliesToTechnology, permanent all-wheel drive systems]
  • A. appliesTo
    Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
  • B. appliesTechnologyIn
    Indicates that an entity makes use of or implements a particular technology within a specific context or activity.
  • C. appliesToProductType
    Indicates that something (such as a rule, offer, or condition) is relevant or applicable specifically to a certain type or category of product.
  • D. appliesToFeature
    Indicates that something (such as a rule, constraint, or configuration) is relevant to, or governs, a specific feature.
  • E. interpretsAsTechnology
    Indicates that one entity understands, classifies, or treats another entity specifically as a form of technology or technological artifact.
  • F. None of above. chosen

Provenance (4 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_69f2247909048190ae86c2160cf8b566 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fda94697c4819081291967202248be completed May 8, 2026, 9:13 a.m.
PD Predicate disambiguation batch_69fda5973fcc8190a57daef31fb70a49 completed May 8, 2026, 8:57 a.m.
PDg Predicate description generation batch_69fda945e1e08190bf923fcd4d2c548a completed May 8, 2026, 9:13 a.m.
Created at: April 29, 2026, 7:18 p.m.