Triple
T19232059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyundai Pony |
E480894
|
entity |
| Predicate | platformSource |
P61964
|
FINISHED |
| Object | Mitsubishi-based components |
—
|
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: Mitsubishi-based components | Statement: [Hyundai Pony, platformSource, Mitsubishi-based components]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformSource Context triple: [Hyundai Pony, platformSource, Mitsubishi-based components]
-
A.
platformAppearsOn
Indicates that a particular platform is present, visible, or available within or on another specified context, medium, or environment.
-
B.
originPlatform
chosen
Indicates the platform, system, or environment from which an entity, event, or piece of data originally comes.
-
C.
platformUsedFor
Indicates that one entity serves as the platform, medium, or environment utilized to perform, host, or support the activities of another entity.
-
D.
platformUsed
Indicates that an action, event, or interaction was carried out using a particular platform (e.g., software, service, or system) as the medium or tool.
-
E.
platformCode
Indicates the specific code or identifier assigned to a platform (such as a station platform or service platform) associated with the subject 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9db56081908f50d318d7fc9eaa |
completed | April 20, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:25 p.m.