Triple
T28858766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | first-generation Audi A4 |
E728805
|
entity |
| Predicate | introducedAudiDesignLanguage |
P114288
|
FINISHED |
| Object | modern Audi compact executive sedan design |
—
|
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: modern Audi compact executive sedan design | Statement: [first-generation Audi A4, introducedAudiDesignLanguage, modern Audi compact executive sedan design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedAudiDesignLanguage Context triple: [first-generation Audi A4, introducedAudiDesignLanguage, modern Audi compact executive sedan design]
-
A.
introducedDesignLanguage
chosen
Indicates that an entity initiated or brought a particular design language into use or public awareness.
-
B.
hasDesignLanguage
Indicates that one entity employs, follows, or is characterized by the design language specified by another entity.
-
C.
engineIntroduced
Indicates that a particular engine was first introduced or brought into use at a specific time or in a specific context.
-
D.
introducedModernStylingComparedTo
Indicates that one entity brought in or established a more contemporary or updated style relative to another entity.
-
E.
introducedSilhouette
Indicates that one entity caused another entity to first appear or be presented in outline or partial form, rather than in full detail.
- 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_69f0319f4e5481909e4c439dbe8be940 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 28, 2026, 6:46 a.m.