Triple
T9982333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen Golf Mk3 |
E196483
|
entity |
| Predicate | introducedAirbags |
P57324
|
FINISHED |
| Object | driver airbag |
—
|
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: driver airbag | Statement: [Volkswagen Golf Mk3, introducedAirbags, driver airbag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedAirbags Context triple: [Volkswagen Golf Mk3, introducedAirbags, driver airbag]
-
A.
introducedPart
chosen
Indicates that one entity has brought another entity into existence, use, or awareness as a component or element of something.
-
B.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
-
C.
engineIntroduced
Indicates that a particular engine was first introduced or brought into use at a specific time or in a specific context.
-
D.
hasPassengerInformationSystem
Indicates that an entity is equipped with a system that provides information to passengers, such as schedules, announcements, or travel updates.
-
E.
introducedAsTrim
Indicates that an entity is presented or designated as a trim level or variant of another entity (such as a base model).
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8bca41081909c04fb77603403b9 |
completed | April 2, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:49 p.m.