Triple

T18300922
Position Surface form Disambiguated ID Type / Status
Subject Minigrid E438354 entity
Predicate hasEnvironment P853 FINISHED
Object Dynamic-Obstacles environment
The Dynamic-Obstacles environment is a MiniGrid task where an agent must navigate to a goal while avoiding moving obstacles that create a constantly changing, partially observable maze.
E1317497 NE FINISHED

How this triple was built (4 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: Dynamic-Obstacles environment | Statement: [Minigrid, hasEnvironment, Dynamic-Obstacles environment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dynamic-Obstacles environment
Context triple: [Minigrid, hasEnvironment, Dynamic-Obstacles environment]
  • A. CMU Highly Intelligent Mobile Platform
    CMU Highly Intelligent Mobile Platform (CHIMP) is a sophisticated humanoid robot developed at Carnegie Mellon University for advanced mobility, manipulation, and autonomous operation in challenging environments.
  • B. RoboCup technical challenges
    RoboCup technical challenges are specialized robotics tasks and benchmarks designed to push the state of the art in autonomous robot perception, control, and teamwork within the RoboCup competition framework.
  • C. Field Robotics Center at Carnegie Mellon University
    The Field Robotics Center at Carnegie Mellon University is a leading research institute specializing in the development of advanced autonomous robots for challenging and unstructured environments such as space, deep sea, and disaster zones.
  • D. MPE (Multi-Agent Particle Environments)
    MPE (Multi-Agent Particle Environments) is a classic collection of lightweight 2D multi-agent reinforcement learning benchmark environments featuring simple particle-based agents and tasks like cooperation, competition, and communication.
  • E. RoboCup standard platform league
    The RoboCup Standard Platform League is a robotics competition in which teams program identical humanoid robots, typically NAO robots, to play autonomous soccer matches under standardized hardware conditions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dynamic-Obstacles environment
Triple: [Minigrid, hasEnvironment, Dynamic-Obstacles environment]
Generated description
The Dynamic-Obstacles environment is a MiniGrid task where an agent must navigate to a goal while avoiding moving obstacles that create a constantly changing, partially observable maze.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dynamic-Obstacles environment
Target entity description: The Dynamic-Obstacles environment is a MiniGrid task where an agent must navigate to a goal while avoiding moving obstacles that create a constantly changing, partially observable maze.
  • A. CMU Highly Intelligent Mobile Platform
    CMU Highly Intelligent Mobile Platform (CHIMP) is a sophisticated humanoid robot developed at Carnegie Mellon University for advanced mobility, manipulation, and autonomous operation in challenging environments.
  • B. RoboCup technical challenges
    RoboCup technical challenges are specialized robotics tasks and benchmarks designed to push the state of the art in autonomous robot perception, control, and teamwork within the RoboCup competition framework.
  • C. Field Robotics Center at Carnegie Mellon University
    The Field Robotics Center at Carnegie Mellon University is a leading research institute specializing in the development of advanced autonomous robots for challenging and unstructured environments such as space, deep sea, and disaster zones.
  • D. MPE (Multi-Agent Particle Environments)
    MPE (Multi-Agent Particle Environments) is a classic collection of lightweight 2D multi-agent reinforcement learning benchmark environments featuring simple particle-based agents and tasks like cooperation, competition, and communication.
  • E. RoboCup standard platform league
    The RoboCup Standard Platform League is a robotics competition in which teams program identical humanoid robots, typically NAO robots, to play autonomous soccer matches under standardized hardware conditions.
  • F. None of above. chosen

Provenance (5 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017f63dc819083a675d570620f2f completed April 19, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03bb5e1fb481908a0b98ea130eda71 completed May 12, 2026, 11:44 p.m.
NEDg Description generation batch_6a03bdb3fb3c819095192ac49e809f55 completed May 12, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_6a03c193a0a08190b33d80d45f3ed0f0 completed May 13, 2026, 12:10 a.m.
Created at: April 10, 2026, 10:35 a.m.