Triple
T19398127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAE Levels of Driving Automation 0–5 |
E485245
|
entity |
| Predicate | hasTotalLevels |
P6578
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [SAE Levels of Driving Automation 0–5, hasTotalLevels, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTotalLevels Context triple: [SAE Levels of Driving Automation 0–5, hasTotalLevels, 6]
-
A.
hasNumberOfLevels
Indicates that an entity possesses a specified count of distinct levels or tiers.
-
B.
numberOfLevels
chosen
Indicates the total count of hierarchical layers, stages, or floors associated with an entity.
-
C.
hasMultipleLevels
Indicates that something is organized into more than one hierarchical or structural level.
-
D.
hasLevelNumber
Indicates that an entity is associated with a specific level identified by a numerical value.
-
E.
hasNoFurtherSubdivisionLevel
Indicates that the referenced entity is at the lowest level of subdivision and cannot be further subdivided into smaller units within the given hierarchy.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62574edd08190b5456108d5e3907e |
completed | April 20, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:36 p.m.