Triple
T15284906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cruisin’ The Coast |
E365367
|
entity |
| Predicate | transportationModeFeatured |
P86086
|
FINISHED |
| Object | automobiles |
—
|
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: automobiles | Statement: [Cruisin’ The Coast, transportationModeFeatured, automobiles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportationModeFeatured Context triple: [Cruisin’ The Coast, transportationModeFeatured, automobiles]
-
A.
transportModeImportant
Indicates that the mode of transport used is considered significant or plays an important role in the context of the relationship or action.
-
B.
showsTransportation
Indicates that one entity presents or depicts a means or mode of transportation associated with another entity.
-
C.
transportModePresent
chosen
Indicates that a particular mode of transportation is involved or available in the described context or event.
-
D.
transportModeFamily
Indicates the general category or family of transportation mode to which a specific transport mode belongs (e.g., road, rail, air, water).
-
E.
transportationCharacteristic
Indicates a specific property, feature, or quality that characterizes a mode, means, or instance of transportation.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e53c9588190a6cb61ac8805c706 |
completed | April 15, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.