Triple
T17606090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Sienna |
E428834
|
entity |
| Predicate | fourthGenerationPowertrain |
P128253
|
FINISHED |
| Object | hybrid |
—
|
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: hybrid | Statement: [Toyota Sienna, fourthGenerationPowertrain, hybrid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthGenerationPowertrain Context triple: [Toyota Sienna, fourthGenerationPowertrain, hybrid]
-
A.
fourthGeneration
Indicates that one entity is in the fourth generation of descent or succession relative to another entity.
-
B.
fourthGenerationName
Indicates that the object is the name assigned to an entity in the fourth generation of a lineage or sequence relative to the subject.
-
C.
thirdGenerationEngine
Indicates that the engine belongs to the third generation in a defined sequence of engine designs or technological iterations.
-
D.
winnerPowertrainType
Indicates the type of powertrain used by the entity that is identified as the winner in a given context or competition.
-
E.
fourthGenerationReleaseDate
Indicates the date on which the fourth generation of an item, product, or entity was released.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4c06a88190a0be2dec3d6056c4 |
completed | April 19, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 5:51 a.m.