Triple
T18723757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Carlo localization |
E457844
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Simultaneous Localization and Mapping |
—
|
NE NERFINISHED |
How this triple was built (2 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: Simultaneous Localization and Mapping | Statement: [Monte Carlo localization, relatedTo, Simultaneous Localization and Mapping]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simultaneous Localization and Mapping Context triple: [Monte Carlo localization, relatedTo, Simultaneous Localization and Mapping]
-
A.
Monte Carlo localization
Monte Carlo localization is a probabilistic robotics algorithm that uses particle filters to estimate a robot’s pose within a known map based on noisy sensor and motion data.
-
B.
SLAM
SLAM is a major art museum in St. Louis, Missouri, renowned for its extensive collection spanning thousands of years and diverse cultures.
-
C.
SLAM
chosen
SLAM (Simultaneous Localization and Mapping) is a computational technique in robotics and computer vision that enables a device to build a map of an unknown environment while simultaneously estimating its own position within that map.
-
D.
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.
-
E.
Wide Angle Topographic Sensor for Operations and eNgineering
Wide Angle Topographic Sensor for Operations and eNgineering (WATSON) is a Mars rover camera system designed to capture detailed close-up and wide-angle images of the Martian surface for scientific analysis and engineering operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56abcfc048190a01dee959e768768 |
completed | April 19, 2026, 11:52 p.m. |
Created at: April 10, 2026, 11:50 a.m.