Triple

T9106075
Position Surface form Disambiguated ID Type / Status
Subject Ford BlueCruise E218480 entity
Predicate competesWith P1375 FINISHED
Object GM Super Cruise E42280 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: GM Super Cruise | Statement: [Ford BlueCruise, competesWith, GM Super Cruise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GM Super Cruise
Context triple: [Ford BlueCruise, competesWith, GM Super Cruise]
  • A. Ford BlueCruise
    Ford BlueCruise is Ford’s hands-free highway driving assistance system that enables semi-autonomous driving on pre-mapped roads, competing directly with GM’s Super Cruise.
  • B. General Motors (via Cruise)
    General Motors (via Cruise) is the U.S. automaker’s autonomous vehicle subsidiary focused on developing and deploying self-driving car technology.
  • C. Cadillac Lyriq
    The Cadillac Lyriq is a luxury all-electric SUV that marks Cadillac’s entry into the modern EV market with advanced technology and a distinctive design.
  • D. Super Cruise (on certain models) chosen
    Super Cruise (on certain models) is Cadillac’s hands-free driver-assistance system that enables semi-autonomous driving on compatible roads using cameras, sensors, and mapped data.
  • E. NVIDIA DRIVE
    NVIDIA DRIVE is NVIDIA’s automotive computing platform designed to power advanced driver-assistance systems and autonomous driving capabilities in vehicles.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca57286a88190b256d2461c5c0aed completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01840d2488190a14d458aa181cc47 completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:16 p.m.