Triple
T24396642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OnStar Safety & Security |
E615044
|
entity |
| Predicate | availableForBrand |
P50639
|
FINISHED |
| Object | Chevrolet |
—
|
NE NERFINISHED |
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: Chevrolet | Statement: [OnStar Safety & Security, availableForBrand, Chevrolet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: availableForBrand Context triple: [OnStar Safety & Security, availableForBrand, Chevrolet]
-
A.
compatibleBrand
Indicates that one brand is suitable for use with, or functions properly alongside, another brand.
-
B.
supportsBrand
Indicates that one entity endorses, promotes, or is compatible with a particular brand.
-
C.
availableFor
chosen
Indicates that one entity can be used, accessed, or allocated for the benefit, purpose, or use of another entity.
-
D.
mayBeAvailableIn
Indicates that an entity has the potential to be obtainable, accessible, or present within a specified context, location, or medium.
-
E.
eligibleProducts
Indicates that certain products meet the required criteria or conditions to qualify for a specified offer, action, or status.
- 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_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294d79dac8190bb79519f4aed91f2 |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:04 a.m.