Triple
T4978221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAE Level 2 |
E111819
|
entity |
| Predicate | higherThan |
P278
|
FINISHED |
| Object | SAE Level 1 |
E111819
|
NE 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 1 | Statement: [SAE Level 2, higherThan, SAE Level 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAE Level 1 Context triple: [SAE Level 2, higherThan, SAE Level 1]
-
A.
SAE Level 2 (typical regulatory classification)
chosen
SAE Level 2 is a driver-assistance classification in which a vehicle can simultaneously control steering and speed under certain conditions, while a human driver must continuously supervise and remain responsible for driving.
-
B.
Level 3.1
Level 3.1 is a specific H.264/AVC profile level that defines constraints on video resolution, bitrate, and processing requirements for compatible encoders and decoders.
-
C.
FIA Grade 1
FIA Grade 1 is the highest safety certification level granted by the Fédération Internationale de l'Automobile, required for circuits to host Formula One races.
-
D.
L1
L1 is the top professional football league in France, featuring the country’s highest-level clubs in the sport.
-
E.
SA1
SA1 is a 3GPP working group responsible for defining overall service requirements and use cases for mobile telecommunications systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd7232bd8c8190b325c9198e8b2fa1 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a0ac8d48190b9d050e26b67a794 |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:33 p.m.