Triple
T18143253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RoboCup technical challenges |
E434315
|
entity |
| Predicate | occursIn |
P40
|
FINISHED |
| Object | RoboCup Rescue leagues |
—
|
NE NERFINISHED |
How this triple was built (3 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: RoboCup Rescue leagues | Statement: [RoboCup technical challenges, occursIn, RoboCup Rescue leagues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RoboCup Rescue leagues Context triple: [RoboCup technical challenges, occursIn, RoboCup Rescue leagues]
-
A.
RoboCup Federation
The RoboCup Federation is an international organization that promotes research and education in robotics and artificial intelligence through robot soccer competitions and related scientific events.
-
B.
World Robot Olympiad
The World Robot Olympiad is an international robotics competition for young people that challenges teams to design, build, and program robots to solve themed tasks.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RoboCup Rescue leagues Target entity description: RoboCup Rescue leagues are competition divisions within the RoboCup initiative that focus on developing and testing autonomous robots and intelligent systems for disaster response and search-and-rescue scenarios.
-
A.
RoboCup Federation
The RoboCup Federation is an international organization that promotes research and education in robotics and artificial intelligence through robot soccer competitions and related scientific events.
-
B.
World Robot Olympiad
The World Robot Olympiad is an international robotics competition for young people that challenges teams to design, build, and program robots to solve themed tasks.
-
C.
RoboCup technical challenges
chosen
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.
-
D.
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.
-
E.
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.
- F. None of above.
Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0da3e081908732ed022f5eb90a |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.