Triple
T10672756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rethink Robotics |
E251535
|
entity |
| Predicate | robotDesignGoal |
P83025
|
FINISHED |
| Object | work safely alongside humans |
—
|
LITERAL FINISHED |
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: work safely alongside humans | Statement: [Rethink Robotics, robotDesignGoal, work safely alongside humans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: robotDesignGoal Context triple: [Rethink Robotics, robotDesignGoal, work safely alongside humans]
-
A.
engineeringGoal
Indicates that an entity has a specific engineering-related objective, target, or desired outcome it is intended to achieve or support.
-
B.
machineGoal
chosen
Indicates that a machine or automated system has a specific objective, target state, or outcome it is intended or programmed to achieve.
-
C.
manufacturerGoal
Indicates that a manufacturer has a specific objective, target, or desired outcome it aims to achieve.
-
D.
designChallenge
Indicates a situation in which an entity is tasked with creating, improving, or solving something through a structured design problem or assignment.
-
E.
appliesToDesignGoal
Indicates that something (such as a method, rule, or constraint) is relevant or intended to be used for achieving a particular design goal.
- F. None of above.
Provenance (3 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f8659d40819087a2709bd24261ee |
completed | April 9, 2026, 12:52 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8a93208190a573061387e2aebb |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:09 p.m.