Triple
T201571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baojun |
E4516
|
entity |
| Predicate | offersPowertrain |
P8242
|
FINISHED |
| Object | internal combustion engine vehicles |
—
|
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: internal combustion engine vehicles | Statement: [Baojun, offersPowertrain, internal combustion engine vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersPowertrain Context triple: [Baojun, offersPowertrain, internal combustion engine vehicles]
-
A.
enginePower
Indicates the power output produced by an engine, typically quantifying its capability to perform work or generate mechanical energy.
-
B.
availableEngineDisplacement
Indicates the range or specific values of engine displacement that are offered or applicable for a given entity.
-
C.
electrificationSystem
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
-
D.
engine
Indicates a relationship where something functions as, contains, or is driven by an engine as its source of mechanical power or propulsion.
-
E.
drives
Indicates that one entity operates and controls the movement of a vehicle or similar conveyance transporting themselves or others.
- F. None of above. chosen
Provenance (4 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c2ead8481909996042efcae5e9d |
completed | Feb. 28, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69a25b4a0d448190a6fa6aeb30dc7e13 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25c2bda788190bcfc0bc94686f9e0 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.