Triple
T7214908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrysler Pacifica |
E149506
|
entity |
| Predicate | introducedAsMinivanGeneration |
P75479
|
FINISHED |
| Object | 2017 model year |
—
|
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: 2017 model year | Statement: [Chrysler Pacifica, introducedAsMinivanGeneration, 2017 model year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedAsMinivanGeneration Context triple: [Chrysler Pacifica, introducedAsMinivanGeneration, 2017 model year]
-
A.
introducedModelFamily
Indicates that an entity (such as a person or organization) is responsible for first presenting or launching a particular model family.
-
B.
introducedAsTrim
Indicates that an entity is presented or designated as a trim level or variant of another entity (such as a base model).
-
C.
introducedByProductLine
Indicates that one product line is responsible for introducing, launching, or bringing another product, feature, or offering into the market or portfolio.
-
D.
introducedAsModel
Indicates that one entity is presented or identified to others in the role or capacity of a model.
-
E.
engineIntroduced
Indicates that a particular engine was first introduced or brought into use at a specific time or in a specific context.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e98ebe1c81909891b4a1c2c3a4aa |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e889854481908c765ce2107f2d3a |
completed | March 27, 2026, 8:28 p.m. |
Created at: March 27, 2026, 2:53 p.m.