Triple
T13319761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | onsemi |
E317283
|
entity |
| Predicate | servesApplication |
P108727
|
FINISHED |
| Object | electric vehicles |
—
|
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: electric vehicles | Statement: [onsemi, servesApplication, electric vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesApplication Context triple: [onsemi, servesApplication, electric vehicles]
-
A.
isServedFor
Indicates that something is provided or presented as suitable or intended for a particular purpose, use, or recipient.
-
B.
servesProgram
Indicates that one entity provides services or functions in support of a particular program.
-
C.
servesEvent
Indicates that an entity provides, hosts, or facilitates a particular event for others.
-
D.
servesRoute
Indicates that a service, vehicle, or provider operates along or provides transportation for a specified route.
-
E.
servesFeature
chosen
Indicates that one entity provides or makes available a particular feature or functionality to 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:29 p.m.