Triple
T833711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perkins CV12-6A |
E18022
|
entity |
| Predicate | starterType |
P20167
|
FINISHED |
| Object | electric start |
—
|
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 start | Statement: [Perkins CV12-6A, starterType, electric start]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starterType Context triple: [Perkins CV12-6A, starterType, electric start]
-
A.
traditionalStart
Indicates that an event, process, or sequence begins in the customary or historically established way.
-
B.
sponsorType
Indicates the specific role or category of sponsorship that an entity provides in relation to another entity or event.
-
C.
standardType
Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
-
D.
launcherType
Indicates the specific kind or category of launcher associated with or used in relation to an entity.
-
E.
occupationBegan
Indicates the point in time when an entity started holding a particular occupation or job.
- F. None of above. chosen
Provenance (4 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb84fe081909b8f4b4202845860 |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7b3d2481909199f7c9f305bdfe |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab60fea8819098ce3269181897d1 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:38 p.m.