Triple
T381308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CV90 |
E8684
|
entity |
| Predicate | maxSpeedOnRoad |
P2096
|
FINISHED |
| Object | approximately 70 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: approximately 70 km/h | Statement: [CV90, maxSpeedOnRoad, approximately 70 km/h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxSpeedOnRoad Context triple: [CV90, maxSpeedOnRoad, approximately 70 km/h]
-
A.
maxSpeed
chosen
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
B.
hasSpeedLimit
Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
-
C.
roadType
Indicates the classification or category of a road based on its functional or physical characteristics.
-
D.
roadFeature
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
-
E.
acceleration0To60mph
Indicates the rate or time it takes for something to increase its speed from 0 to 60 miles per hour.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2c95088190a603bb1ee076ebd6 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e964d4b481909290e474b0341e3c |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.