Triple
T11716984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harley-Davidson Street Glide |
E278524
|
entity |
| Predicate | motorcycleClass |
P100947
|
FINISHED |
| Object | touring |
—
|
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: touring | Statement: [Harley-Davidson Street Glide, motorcycleClass, touring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motorcycleClass Context triple: [Harley-Davidson Street Glide, motorcycleClass, touring]
-
A.
motoOf
Indicates that something is the motto associated with a particular entity (such as an organization, place, or group).
-
B.
bikeType
Indicates the specific kind or category of bicycle associated with an entity.
-
C.
bikeCategory
Indicates the classification or type of a bicycle that an entity is associated with.
-
D.
bicycleType
Indicates the specific kind or category of bicycle associated with an entity.
-
E.
motorizedUse
Indicates that an entity is used or operated by means of a motor or engine, rather than by human or animal power.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c10d988190842acd824135cf15 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:40 p.m.