Triple
T28826857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEAT Toledo |
E727930
|
entity |
| Predicate | fourthGenerationRelatedModel |
P170405
|
FINISHED |
| Object | Škoda Rapid (NH) liftback |
—
|
NE NERFINISHED |
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: Škoda Rapid (NH) liftback | Statement: [SEAT Toledo, fourthGenerationRelatedModel, Škoda Rapid (NH) liftback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthGenerationRelatedModel Context triple: [SEAT Toledo, fourthGenerationRelatedModel, Škoda Rapid (NH) liftback]
-
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.
fourthGenerationReleaseDate
Indicates the date on which the fourth generation of an item, product, or entity was released.
-
D.
fourthGenerationPowertrain
Indicates that the subject uses or is equipped with a fourth-generation version of a powertrain system.
-
E.
fourthGenerationPlatform
Indicates that an entity is a fourth-generation platform, typically denoting a later, more advanced iteration in a series of platform developments.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 28, 2026, 6:36 a.m.