Triple

T334037
Position Surface form Disambiguated ID Type / Status
Subject DARPA Robotics Challenge E6684 entity
Predicate hasPart P35 FINISHED
Object DARPA Robotics Challenge Trials
The DARPA Robotics Challenge Trials were a preliminary competition in which advanced humanoid and disaster-response robots were tested on complex tasks to qualify for the final DARPA Robotics Challenge.
E6684 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: DARPA Robotics Challenge Trials | Statement: [DARPA Robotics Challenge, hasPart, DARPA Robotics Challenge Trials]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DARPA Robotics Challenge Trials
Context triple: [DARPA Robotics Challenge, hasPart, DARPA Robotics Challenge Trials]
  • A. DARPA Robotics Challenge
    The DARPA Robotics Challenge was a high-profile international competition that pushed the development of advanced humanoid robots capable of performing complex disaster-response tasks in environments designed for humans.
  • B. DARPA Grand Challenge
    The DARPA Grand Challenge was a series of autonomous vehicle competitions in the 2000s that catalyzed major advances in self-driving car technology and robotics research.
  • C. Technical Committee on Humanoid Robotics
    The Technical Committee on Humanoid Robotics is a specialized IEEE RAS body that promotes research, development, and coordination of activities in the field of humanoid robot design, control, and applications.
  • D. Technical Committee on Robot Learning
    The Technical Committee on Robot Learning is a specialized IEEE Robotics and Automation Society group that advances research and collaboration at the intersection of machine learning and robotics.
  • E. Technical Committee on Mobile Robots
    The Technical Committee on Mobile Robots is a specialized IEEE Robotics and Automation Society group that advances research, standards, and collaboration in autonomous and mobile robotics.
  • 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: DARPA Robotics Challenge Trials
Triple: [DARPA Robotics Challenge, hasPart, DARPA Robotics Challenge Trials]
Generated description
The DARPA Robotics Challenge Trials were a preliminary competition in which advanced humanoid and disaster-response robots were tested on complex tasks to qualify for the final DARPA Robotics Challenge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DARPA Robotics Challenge Trials
Target entity description: The DARPA Robotics Challenge Trials were a preliminary competition in which advanced humanoid and disaster-response robots were tested on complex tasks to qualify for the final DARPA Robotics Challenge.
  • A. DARPA Robotics Challenge chosen
    The DARPA Robotics Challenge was a high-profile international competition that pushed the development of advanced humanoid robots capable of performing complex disaster-response tasks in environments designed for humans.
  • B. DARPA Grand Challenge
    The DARPA Grand Challenge was a series of autonomous vehicle competitions in the 2000s that catalyzed major advances in self-driving car technology and robotics research.
  • C. Technical Committee on Humanoid Robotics
    The Technical Committee on Humanoid Robotics is a specialized IEEE RAS body that promotes research, development, and coordination of activities in the field of humanoid robot design, control, and applications.
  • D. Technical Committee on Robot Learning
    The Technical Committee on Robot Learning is a specialized IEEE Robotics and Automation Society group that advances research and collaboration at the intersection of machine learning and robotics.
  • E. Technical Committee on Mobile Robots
    The Technical Committee on Mobile Robots is a specialized IEEE Robotics and Automation Society group that advances research, standards, and collaboration in autonomous and mobile robotics.
  • F. None of above.

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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eac641708190b85fa21368e5de8e completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d245be0c819093acff963b041d01 completed March 1, 2026, 5:44 a.m.
NEDg Description generation batch_69a3d2afcea48190aa767b5dd077f02c completed March 1, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69a3d38f00288190bc43e5de028deed6 completed March 1, 2026, 5:50 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.