Triple

T2622252
Position Surface form Disambiguated ID Type / Status
Subject DINOSAUR E59034 entity
Predicate rideSystem P22108 FINISHED
Object Enhanced Motion Vehicle E122188 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: Enhanced Motion Vehicle | Statement: [DINOSAUR, rideSystem, Enhanced Motion Vehicle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enhanced Motion Vehicle
Context triple: [DINOSAUR, rideSystem, Enhanced Motion Vehicle]
  • A. Enhanced Motion Vehicle chosen
    The Enhanced Motion Vehicle is an advanced ride system that combines motion simulation with synchronized visuals and effects to create an immersive, dynamic theme park experience.
  • B. Man Vehicle Laboratory
    Man Vehicle Laboratory is an MIT research lab focused on human factors, human–machine interaction, and human performance in aerospace and other complex vehicle systems.
  • C. Vehicle HAL
    Vehicle HAL is an abstraction layer in Android Automotive OS that standardizes access to a car’s hardware and vehicle-specific data for higher-level system components and apps.
  • D. Autonoë
    Autonoë is a figure in Greek mythology, a daughter of Cadmus and Harmonia and sister of Semele, known primarily as the mother of the hunter Actaeon.
  • E. Mobileye
    Mobileye is an Israeli technology company specializing in advanced driver-assistance systems and autonomous driving solutions, known for its computer vision and mapping technologies used by major automakers worldwide.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8adab148190af26ede359dd739d completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af909918b88190905df6637ec0e412 completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.