Triple
T16180579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honda C70 |
E392672
|
entity |
| Predicate | hasStarterType |
P122022
|
FINISHED |
| Object | kick starter |
—
|
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: kick starter | Statement: [Honda C70, hasStarterType, kick starter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStarterType Context triple: [Honda C70, hasStarterType, kick starter]
-
A.
hasPrimerType
Indicates that an entity is associated with or characterized by a specific type or category of primer.
-
B.
hasStageType
Indicates that an entity is associated with, or classified by, a specific type or category of stage within a process, lifecycle, or workflow.
-
C.
hasDeveloperType
Indicates that an entity is associated with a specific category or type of developer.
-
D.
hasProjectType
Indicates that an entity is associated with, or classified under, a specific type or category of project.
-
E.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205c92b48190b7125dbbcff3662e |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:02 a.m.