Triple
T334039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DARPA Robotics Challenge |
E6684
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
DARPA Virtual Robotics Challenge
The DARPA Virtual Robotics Challenge was a simulation-based competition in which teams developed and tested software for controlling virtual disaster-response robots as part of the broader DARPA Robotics Challenge program.
|
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 Virtual Robotics Challenge | Statement: [DARPA Robotics Challenge, hasPart, DARPA Virtual Robotics Challenge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DARPA Virtual Robotics Challenge Context triple: [DARPA Robotics Challenge, hasPart, DARPA Virtual Robotics Challenge]
-
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.
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.
-
C.
DRC-HUBO
DRC-HUBO is a Korean-developed humanoid robot renowned for winning the DARPA Robotics Challenge by demonstrating advanced mobility and disaster-response capabilities.
-
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.
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.
- 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 Virtual Robotics Challenge Triple: [DARPA Robotics Challenge, hasPart, DARPA Virtual Robotics Challenge]
Generated description
The DARPA Virtual Robotics Challenge was a simulation-based competition in which teams developed and tested software for controlling virtual disaster-response robots as part of the broader DARPA Robotics Challenge program.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DARPA Virtual Robotics Challenge Target entity description: The DARPA Virtual Robotics Challenge was a simulation-based competition in which teams developed and tested software for controlling virtual disaster-response robots as part of the broader DARPA Robotics Challenge program.
-
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.
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.
-
C.
DRC-HUBO
DRC-HUBO is a Korean-developed humanoid robot renowned for winning the DARPA Robotics Challenge by demonstrating advanced mobility and disaster-response capabilities.
-
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.
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.
- 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_69a3d7e6f9408190a4c17c25a57625cf |
completed | March 1, 2026, 6:08 a.m. |
| NEDg | Description generation | batch_69a3db973b7c819088fa25046ef67966 |
completed | March 1, 2026, 6:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3dc9859308190ba69dc53b36cbe38 |
completed | March 1, 2026, 6:28 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.