Triple
T4403476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holden UC Torana |
E93669
|
entity |
| Predicate | discontinuedModelYear |
P1466
|
FINISHED |
| Object | 1979 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: 1979 model year | Statement: [Holden UC Torana, discontinuedModelYear, 1979 model year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discontinuedModelYear Context triple: [Holden UC Torana, discontinuedModelYear, 1979 model year]
-
A.
discontinuedModel
Indicates that a particular model is no longer produced, sold, or officially supported.
-
B.
discontinuedIn
chosen
Indicates that an item, product, or service stopped being produced, offered, or supported starting in a specified time or place.
-
C.
brandDiscontinuationYear
Indicates the year in which a brand ceased operations or was officially discontinued.
-
D.
discontinuedWith
Indicates that an item, service, or process has been stopped or terminated in association with a particular entity, condition, or context.
-
E.
discontinuedInVersionOf
Indicates that something (such as a feature, product, or component) ceased to be available or supported starting from a specific version of another entity.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352d1af608190ac06d50433cf24bb |
completed | March 12, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:28 p.m.