Triple
T38490905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Trekker |
E918049
|
entity |
| Predicate | converter |
P192343
|
FINISHED |
| Object | Winnebago Industries |
—
|
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: Winnebago Industries | Statement: [Toyota Trekker, converter, Winnebago Industries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: converter Context triple: [Toyota Trekker, converter, Winnebago Industries]
-
A.
conversionTarget
Indicates that one entity serves as the intended outcome, goal, or result that another entity is meant to be converted or transformed into.
-
B.
conversionProgram
Indicates a program or process that transforms something from one form, state, or type into another.
-
C.
conversionUse
Indicates that one entity is used as a means, method, or context for converting another entity from one form, state, or representation to another.
-
D.
convertsBetween
Indicates a relationship where one entity transforms or translates something from one form, unit, or representation into another.
-
E.
conversionProcess
Indicates a process in which something is transformed or changed from one state, form, or representation into another.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
| PDg | Predicate description generation | batch_69fd05b965608190a3666410b9f8e125 |
completed | May 7, 2026, 9:35 p.m. |
Created at: May 3, 2026, 4:31 p.m.