Triple

T8305975
Position Surface form Disambiguated ID Type / Status
Subject Hearst Autos E194463 entity
Predicate ownsBrand P1500 FINISHED
Object Road & Track E194452 NE 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: Road & Track | Statement: [Hearst Autos, ownsBrand, Road & Track]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Road & Track
Context triple: [Hearst Autos, ownsBrand, Road & Track]
  • A. Road & Track chosen
    Road & Track is an American automotive enthusiast magazine known for its in-depth coverage of performance cars, motorsports, and automotive culture.
  • B. Motor Trend
    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.
  • C. 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.
  • D. MotorSport
    "MotorSport" is a 2017 hip-hop single by Migos featuring Nicki Minaj and Cardi B, known for its high-profile collaboration and appearance on the album "Culture II."
  • E. Popular Mechanics
    Popular Mechanics is a long-running American magazine focused on science, technology, DIY projects, and how-things-work explanations for a general audience.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f293db08190912e5e8bb7e940cf completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955100448190862fd52d660585fd completed April 1, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:54 p.m.