Triple

T9404919
Position Surface form Disambiguated ID Type / Status
Subject Boston Dynamics E226560 entity
Predicate hasRobotModel P82954 FINISHED
Object Cheetah robot E795936 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: Cheetah robot | Statement: [Boston Dynamics, hasRobotModel, Cheetah robot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheetah robot
Context triple: [Boston Dynamics, hasRobotModel, Cheetah robot]
  • A. Cheetah robot chosen
    The Cheetah robot is a high-speed, quadrupedal research robot developed by Boston Dynamics to demonstrate advanced robotic locomotion and agility.
  • B. Ameca
    Ameca is a city in the Mexican state of Jalisco known as an agricultural and commercial center in the Ameca Valley region.
  • C. Nadia humanoid robot
    Nadia is a state-of-the-art humanoid robot platform designed for advanced research in robotics, locomotion, and human-robot interaction.
  • D. HUBO humanoid robot series
    The HUBO humanoid robot series is a line of advanced bipedal robots from South Korea known for their human-like mobility, participation in robotics competitions, and contributions to humanoid robotics research.
  • E. ASIMO humanoid robot
    ASIMO is a pioneering humanoid robot developed by Honda, designed to walk, run, and interact with humans as a research platform for advanced robotics and mobility technologies.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51c125dc8190a6438cf0ee23e7a9 completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1102414e8819097a1bb58a3ded630 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:46 p.m.