Triple
T15790677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audi A6 e-tron |
E382855
|
entity |
| Predicate | unveiledAs |
P120028
|
FINISHED |
| Object | concept car |
—
|
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: concept car | Statement: [Audi A6 e-tron, unveiledAs, concept car]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unveiledAs Context triple: [Audi A6 e-tron, unveiledAs, concept car]
-
A.
unveiledBy
Indicates that something (such as an object, artwork, or project) was formally revealed or presented to the public by a particular agent or entity.
-
B.
unveiledOn
Indicates the date or event at which something (such as a product, artwork, or plan) was formally revealed or made public.
-
C.
reunveiledOn
Indicates that something was revealed or made publicly known again on a specific date or occasion.
-
D.
unveiledInPresenceOf
Indicates that something was formally revealed or made public while specific other entities were present.
-
E.
unveiledInYear
Indicates the specific calendar year in which something was formally revealed or made publicly known.
- F. None of above. chosen
Provenance (4 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d819c881908bc43a6124a1bb2e |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e006b17f7881908b8c7a37f0af4581 |
completed | April 15, 2026, 9:44 p.m. |
Created at: April 10, 2026, 4:48 a.m.