Triple
T27620177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speedway Grand Prix of Great Britain |
E700555
|
entity |
| Predicate | bikesUsed |
P162763
|
FINISHED |
| Object | 500cc single-gear motorcycles |
—
|
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: 500cc single-gear motorcycles | Statement: [Speedway Grand Prix of Great Britain, bikesUsed, 500cc single-gear motorcycles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bikesUsed Context triple: [Speedway Grand Prix of Great Britain, bikesUsed, 500cc single-gear motorcycles]
-
A.
bicycleUse
Indicates that an entity makes use of a bicycle for transportation, activity, or other purposes.
-
B.
usesBike
Indicates that an entity regularly rides or employs a bicycle as a means of transportation or activity.
-
C.
rideCount
Indicates the number of rides associated with a given entity or context.
-
D.
cyclingUse
Indicates that one entity uses or is used for cycling, such as engaging in or supporting bicycle-based transportation or activity.
-
E.
bikeType
Indicates the specific kind or category of bicycle associated with an 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f630dbc9b08190aa253e2b85f2f39a |
completed | May 2, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d14c24c81909e86678c1b5fd429 |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 27, 2026, 2:14 p.m.