Triple
T5446710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nissan Qashqai |
E122265
|
entity |
| Predicate | thirdGenerationLaunch |
P25155
|
FINISHED |
| Object | 2021 |
—
|
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: 2021 | Statement: [Nissan Qashqai, thirdGenerationLaunch, 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdGenerationLaunch Context triple: [Nissan Qashqai, thirdGenerationLaunch, 2021]
-
A.
thirdGenerationStart
chosen
Indicates the point in time or event at which the third generation of a lineage, product line, or sequence begins.
-
B.
thirdGeneration
Indicates that one entity is the grandchild (third generation) relative to another entity in a lineage or succession.
-
C.
thirdGenerationPlatform
Indicates that the subject is a third-generation instance or version within a sequence of related platforms.
-
D.
secondGenerationLaunch
Indicates that an entity initiates or is associated with the launch of a second-generation version of a product, system, or technology.
-
E.
thirdGenerationProduction
Indicates that the subject is involved in producing or manufacturing items belonging to the third generation of a product, technology, or design series.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd95be329c81908783420cf81b6af5 |
completed | March 20, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69bd919e8d18819098c4af6a015e5cc2 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:07 p.m.