Triple

T3802280
Position Surface form Disambiguated ID Type / Status
Subject 2017 Motor Trend Truck of the Year E91715 entity
Predicate judgingOrganization P3853 FINISHED
Object Motor Trend E91043 NE FINISHED

How this triple was built (3 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: Motor Trend | Statement: [2017 Motor Trend Truck of the Year, judgingOrganization, Motor Trend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motor Trend
Context triple: [2017 Motor Trend Truck of the Year, judgingOrganization, Motor Trend]
  • A. Motor Trend chosen
    Motor Trend is an American automotive magazine and media brand known for its influential car reviews, comparison tests, and annual Car of the Year awards.
  • B. Road & Track
    Road & Track is an American automotive enthusiast magazine known for its in-depth coverage of performance cars, motorsports, and automotive culture.
  • C. Hearst Autos
    Hearst Autos is the automotive-focused division of Hearst Communications that produces car-related media, reviews, and digital content for consumers and industry professionals.
  • D. Autoblog
    Autoblog is an automotive news and review website known for its coverage of car industry news, vehicle reviews, and consumer car-buying information.
  • E. Car and Driver
    Car and Driver is a leading American automotive enthusiast magazine and media brand known for its in-depth car reviews, comparison tests, and industry news.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: judgingOrganization
Context triple: [2017 Motor Trend Truck of the Year, judgingOrganization, Motor Trend]
  • A. awardingOrganization chosen
    Indicates the organization that grants, confers, or issues an award, honor, or similar recognition to a recipient.
  • B. qualificationOrganizedBy
    Indicates that a qualification (such as a course, exam, or certification) is organized or administered by a particular agent or organization.
  • C. judgedBy
    Indicates that one entity evaluates, assesses, or forms an opinion about another entity, often in an official or critical capacity.
  • D. organisingBody
    Indicates that an entity serves as the primary organizer or coordinating body responsible for planning and managing an event, activity, or initiative.
  • E. judgesMayBe
    Indicates that certain individuals can serve in the role of judges under specified conditions or classifications.
  • F. None of above.

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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee8db8a288190afd1e3b9dcf02e97 completed March 9, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503f107148190bf7ce74eb7dee9b2 completed March 14, 2026, 6:45 a.m.
PD Predicate disambiguation batch_69aee7461abc8190945716f4b93e1a18 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:15 p.m.