Triple
T16666233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citroën C5 X |
E404987
|
entity |
| Predicate | plugInHybridType |
P109856
|
FINISHED |
| Object | PHEV |
—
|
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: PHEV | Statement: [Citroën C5 X, plugInHybridType, PHEV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plugInHybridType Context triple: [Citroën C5 X, plugInHybridType, PHEV]
-
A.
hasHybridPowerOutput
Indicates that an entity possesses a power output characteristic derived from or involving a hybrid (multi-source) power system.
-
B.
hasHybridSystem
chosen
Indicates that an entity is equipped with or incorporates a hybrid system, typically combining two or more different technologies or power sources.
-
C.
driveType
Indicates the type or configuration of the drive mechanism used to power or propel an entity.
-
D.
winnerPowertrainType
Indicates the type of powertrain used by the entity that is identified as the winner in a given context or competition.
-
E.
electricMotorType
Indicates the specific kind or category of electric motor associated with an entity.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9cd7ec819084aa9b2830874bf5 |
completed | April 18, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.