Triple
T20938747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamaha PW50 |
E515656
|
entity |
| Predicate | isBeginnerFriendly |
P141769
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Yamaha PW50, isBeginnerFriendly, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBeginnerFriendly Context triple: [Yamaha PW50, isBeginnerFriendly, true]
-
A.
hasBeginnerFriendlyTraining
Indicates that an entity provides training or instructional resources suitable for beginners or those with little prior experience.
-
B.
hasBeginnerTerrain
Indicates that something provides or includes terrain or areas suitable for beginners.
-
C.
isFamilyFriendly
Indicates that something is suitable for all ages and does not contain content inappropriate for children or sensitive audiences.
-
D.
isEasierThan
Indicates that one entity requires less effort, difficulty, or complexity to accomplish, understand, or deal with than another entity.
-
E.
isLessTechnicalThan
Indicates that one entity possesses a lower level of technical complexity, expertise, or detail compared to another entity.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f95419a48190b7f62abc59f38bef |
completed | April 21, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:50 p.m.