Triple
T405837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tesla Model X |
E9380
|
entity |
| Predicate | driverAssistanceLevel |
P9537
|
FINISHED |
| Object | SAE Level 2 (with Autopilot/FSD as of mid-2020s) |
—
|
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: SAE Level 2 (with Autopilot/FSD as of mid-2020s) | Statement: [Tesla Model X, driverAssistanceLevel, SAE Level 2 (with Autopilot/FSD as of mid-2020s)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: driverAssistanceLevel Context triple: [Tesla Model X, driverAssistanceLevel, SAE Level 2 (with Autopilot/FSD as of mid-2020s)]
-
A.
automationLevel
chosen
Indicates the degree to which a process, task, or system is performed automatically rather than manually.
-
B.
driveType
Indicates the type or configuration of the drive mechanism used to power or propel an entity.
-
C.
isDriverless
Indicates that something operates or moves without a human driver controlling it.
-
D.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
-
E.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecbc00508190bbb602179273f29c |
completed | Feb. 28, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69a2e971a3a481909e6b075f25dd234a |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.