Triple
T1342334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Trailblazer |
E28492
|
entity |
| Predicate | introducedAsCurrentGeneration |
P17325
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Chevrolet Trailblazer, introducedAsCurrentGeneration, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedAsCurrentGeneration Context triple: [Chevrolet Trailblazer, introducedAsCurrentGeneration, 2019]
-
A.
importedGeneration
Indicates that electrical energy was generated outside the local system or region and brought in for use through imports.
-
B.
firstGenerationStart
Indicates the point in time or event at which the first generation in a sequence, lineage, or series begins.
-
C.
dominantGeneration
Indicates that one generation in a life cycle is more prominent, long-lived, or visually conspicuous than the other generation(s).
-
D.
introducedDuring
Indicates that one entity was first brought into existence, use, or awareness within the time period, event, or context specified by the other entity.
-
E.
secondGenerationStartYear
chosen
Indicates the calendar year in which the second generation of something (e.g., a product, model, or series) begins.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2174d048190a6e9380df302265f |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef3e8fc8190ac9a1ba9b5879483 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.