Triple
T30816630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audi RS6 |
E784795
|
entity |
| Predicate | topSpeedOptional |
P2096
|
FINISHED |
| Object | 280 km/h |
—
|
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: 280 km/h | Statement: [Audi RS6, topSpeedOptional, 280 km/h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topSpeedOptional Context triple: [Audi RS6, topSpeedOptional, 280 km/h]
-
A.
maxSpeed
chosen
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
B.
hasTopSpeedSection
Indicates that an entity includes or is associated with a segment or portion where the maximum or top speed is defined, reached, or relevant.
-
C.
designedSpeedKmH
Indicates the maximum speed in kilometers per hour that something is intended or engineered to achieve under its design specifications.
-
D.
accelerationTimeToTopSpeed
Indicates the duration required for something to increase its speed from an initial value to its maximum (top) speed.
-
E.
typicalTopSpeedRange
Indicates the usual range of maximum speeds that an entity is capable of under normal conditions.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6906994e88190a2da183455bdf076 |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:44 p.m.