Triple
T4978255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tesla Vision |
E111820
|
entity |
| Predicate | doesNotUseSensorType |
P2558
|
FINISHED |
| Object | radar |
—
|
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: radar | Statement: [Tesla Vision, doesNotUseSensorType, radar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotUseSensorType Context triple: [Tesla Vision, doesNotUseSensorType, radar]
-
A.
doesNotUse
chosen
Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
-
B.
hasSensor
Indicates that one entity is equipped with, contains, or uses a particular sensor.
-
C.
doesNotMeasure
Indicates that an entity is not used to quantify, assess, or determine the value or extent of another entity or property.
-
D.
doesNotOperate
Indicates that an entity is not functioning, active, or performing its intended operation in relation to another entity or context.
-
E.
doesNotProduce
Indicates that one entity fails to generate, create, or yield another entity or outcome.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.