Triple
T1302818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Cruze |
E27804
|
entity |
| Predicate | discontinuationYearNorthAmerica |
P1466
|
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 Cruze, discontinuationYearNorthAmerica, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discontinuationYearNorthAmerica Context triple: [Chevrolet Cruze, discontinuationYearNorthAmerica, 2019]
-
A.
discontinuedIn
chosen
Indicates that an item, product, or service stopped being produced, offered, or supported starting in a specified time or place.
-
B.
disbandmentYear
Indicates the year in which an organization, group, or entity formally ceased to exist or was dissolved.
-
C.
serializationEndYear
Indicates the year in which the serialization or serialized publication of an entity concluded.
-
D.
decommissionedDate
Indicates the date on which an entity was formally taken out of service or retired from active use.
-
E.
endYear
Indicates the year in which an event, state, or relationship comes to an end.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c115ba64819081c55fa6807e19ef |
completed | March 1, 2026, 10:43 p.m. |
| PD | Predicate disambiguation | batch_69a4bee8544c8190874efd9bae9bccf9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.