Triple
T35575319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz EQC |
E1028058
|
entity |
| Predicate | EPACombinedRangeApprox |
P4862
|
FINISHED |
| Object | around 220 miles |
—
|
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: around 220 miles | Statement: [Mercedes-Benz EQC, EPACombinedRangeApprox, around 220 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EPACombinedRangeApprox Context triple: [Mercedes-Benz EQC, EPACombinedRangeApprox, around 220 miles]
-
A.
rangeEPA
chosen
Indicates the EPA-rated driving range that a vehicle can travel on a single charge or tank under standardized test conditions.
-
B.
electorsApproximateRange
Indicates that one entity specifies an estimated or approximate numerical range for the number of electors associated with another entity.
-
C.
rangeLengthApprox
Indicates that the length or extent of a range is approximately equal to a specified value, allowing for some tolerance or imprecision.
-
D.
approximationRegion
Indicates a region or range within which a value, object, or condition is considered an acceptable approximation of a reference or target.
-
E.
approximateEstimation
Indicates an estimation relationship where one value or assessment is only roughly or closely, but not exactly, equal to another.
- 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.