Triple
T8492796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solaria |
E201013
|
entity |
| Predicate | robotToHumanRatio |
P83021
|
FINISHED |
| Object | tens of thousands of robots per human |
—
|
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: tens of thousands of robots per human | Statement: [Solaria, robotToHumanRatio, tens of thousands of robots per human]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: robotToHumanRatio Context triple: [Solaria, robotToHumanRatio, tens of thousands of robots per human]
-
A.
robotType
Indicates the specific category or kind of robot that an entity belongs to.
-
B.
hasRobot
Indicates that one entity possesses, controls, or is associated with a robot.
-
C.
isRobotic
Indicates that an entity is robotic, meaning it is a robot or operates using robotic mechanisms or technology.
-
D.
robotTypeDeveloped
Indicates that a particular type or category of robot has been created or developed by an entity.
-
E.
isHuman
Indicates that the subject entity possesses the defining characteristics or status of being a human.
- F. None of above. chosen
Provenance (4 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe55cf5dc81908cad31ac53e15b46 |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:13 p.m.