Triple

T38554
Position Surface form Disambiguated ID Type / Status
Subject Defense Advanced Research Projects Agency E763 entity
Predicate notableProject P4 FINISHED
Object 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.
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 | Statement: [Defense Advanced Research Projects Agency, notableProject, DARPA Robotics Challenge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DARPA Robotics Challenge
Context triple: [Defense Advanced Research Projects Agency, notableProject, DARPA Robotics Challenge]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. IEEE International Conference on Robotics and Automation
    The IEEE International Conference on Robotics and Automation is a leading annual global research conference showcasing cutting-edge advances in robotics and automation technologies.
  • 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
Triple: [Defense Advanced Research Projects Agency, notableProject, DARPA Robotics Challenge]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DARPA Robotics Challenge
Target entity description: 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.
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. IEEE International Conference on Robotics and Automation
    The IEEE International Conference on Robotics and Automation is a leading annual global research conference showcasing cutting-edge advances in robotics and automation technologies.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24acd14b48190b80d4329621583df completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25ab3438c81908ff16eb23a09fea7 completed Feb. 28, 2026, 3:02 a.m.
NEDg Description generation batch_69a25ba68f1081908f88d2bb2af35af6 completed Feb. 28, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_69a25c4a5fa8819082a737e1f0251a8a completed Feb. 28, 2026, 3:08 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.