Triple
T16332163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazda CX-9 |
E396580
|
entity |
| Predicate | secondGenerationModelYearStart |
P17325
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Mazda CX-9, secondGenerationModelYearStart, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondGenerationModelYearStart Context triple: [Mazda CX-9, secondGenerationModelYearStart, 2016]
-
A.
secondGenerationStartYear
chosen
Indicates the calendar year in which the second generation of something (e.g., a product, model, or series) begins.
-
B.
secondGenerationYears
Indicates the span of years during which the second generation of something (e.g., a product, system, or lineage) is active, relevant, or in effect.
-
C.
secondInstallmentReleaseYear
Indicates the year in which the second installment of a series or sequence is released.
-
D.
secondGenerationReleaseDate
Indicates the date on which the second generation or version of an item was officially released.
-
E.
secondCreationYear
Indicates the year in which an entity was created for the second time, such as after being recreated, relaunched, or re-established.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e0b1388190824b286e8452fb32 |
completed | April 17, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.