Triple
T13228093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz EQV |
E314932
|
entity |
| Predicate | topSpeedLimited |
P2129
|
FINISHED |
| Object | 160 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: 160 km/h | Statement: [Mercedes-Benz EQV, topSpeedLimited, 160 km/h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topSpeedLimited Context triple: [Mercedes-Benz EQV, topSpeedLimited, 160 km/h]
-
A.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
B.
speedLimitCharacteristic
Indicates that an entity has a specific speed limit property or constraint associated with it.
-
C.
hasSpeedLimit
chosen
Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
-
D.
hasVariableSpeedLimits
Indicates that the subject is associated with speed limits that can change depending on conditions, time, or location.
-
E.
speedAchieved
Indicates that a particular speed has been reached or attained by an entity during an event or action.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3232d48190a3c792b025c596a6 |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:21 p.m.