Triple
T11420049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyna |
E270594
|
entity |
| Predicate | hasChassisCharacteristic |
P274
|
FINISHED |
| Object | more agile than traditional Harley-Davidson big-twin cruisers |
—
|
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: more agile than traditional Harley-Davidson big-twin cruisers | Statement: [Dyna, hasChassisCharacteristic, more agile than traditional Harley-Davidson big-twin cruisers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChassisCharacteristic Context triple: [Dyna, hasChassisCharacteristic, more agile than traditional Harley-Davidson big-twin cruisers]
-
A.
hasChassisType
Indicates that an entity is associated with or equipped with a specific type of chassis.
-
B.
hasCharacteristic
chosen
Indicates that an entity possesses, exhibits, or is defined by a particular attribute, feature, or quality.
-
C.
supportsChassisType
Indicates that one entity is compatible with and can be used to support or accommodate a specified chassis type.
-
D.
hasMountingFeature
Indicates that one entity includes or provides a structural feature intended for mounting or attaching another entity.
-
E.
chassisCode
Indicates the specific chassis designation or code assigned to a vehicle model to distinguish its underlying structural platform or variant.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b20ce08190befc98379b879985 |
completed | April 9, 2026, 7:44 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.