Triple

T15034928
Position Surface form Disambiguated ID Type / Status
Subject Top Gear magazine E378453 entity
Predicate hasOnlinePresence P57 FINISHED
Object topgear.com E378453 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: topgear.com | Statement: [Top Gear magazine, hasOnlinePresence, topgear.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: topgear.com
Context triple: [Top Gear magazine, hasOnlinePresence, topgear.com]
  • A. Top Gear magazine chosen
    Top Gear magazine is a British monthly automotive publication featuring car reviews, motoring news, and content inspired by the Top Gear television show.
  • 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. Top Gear
    Top Gear is a popular British television show that reviews and tests cars with a mix of motoring journalism, humor, and elaborate challenges.
  • 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.

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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82b29948190acda49cbec3f927a completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dddd0208190b2dac7a078de2931 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:59 a.m.