Triple
T30145565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAN Lion’s City solo |
E766243
|
entity |
| Predicate | hasPowertrainOption |
P8242
|
FINISHED |
| Object | diesel |
—
|
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: diesel | Statement: [MAN Lion’s City solo, hasPowertrainOption, diesel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPowertrainOption Context triple: [MAN Lion’s City solo, hasPowertrainOption, diesel]
-
A.
offersPowertrain
chosen
Indicates that one entity provides or makes available a specific powertrain to another entity or for a particular product.
-
B.
winnerPowertrainType
Indicates the type of powertrain used by the entity that is identified as the winner in a given context or competition.
-
C.
drivetrainFeature
Indicates that an entity has a specific characteristic, component, or capability related to its drivetrain system.
-
D.
powertrainComponentOf
Indicates that one entity is a component or subsystem that forms part of the powertrain of another entity.
-
E.
supportsDrivetrainFeature
Indicates that an entity provides or is compatible with a specified drivetrain-related capability or function.
- 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_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: April 29, 2026, 7:18 p.m.