Triple
T24575911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falubaz Zielona Góra |
E608102
|
entity |
| Predicate | usesMotorcycles |
P147479
|
FINISHED |
| Object | speedway 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: speedway motorcycles | Statement: [Falubaz Zielona Góra, usesMotorcycles, speedway motorcycles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMotorcycles Context triple: [Falubaz Zielona Góra, usesMotorcycles, speedway motorcycles]
-
A.
usedMotorcycle
Indicates that an entity is a motorcycle that has been previously owned or operated, rather than being new.
-
B.
motorizedUse
Indicates that an entity is used or operated by means of a motor or engine, rather than by human or animal power.
-
C.
motorcycleClass
Indicates the classification or category to which a motorcycle belongs (e.g., by type, style, or usage).
-
D.
usesBike
Indicates that an entity regularly rides or employs a bicycle as a means of transportation or activity.
-
E.
motorcycleSport
chosen
Indicates a relationship where an entity is engaged in or associated with the sport or competitive activity of motorcycle riding.
- 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_69e2c4cdab6c8190aae6e5d3de55c95e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a928896c8190af385755b1418ba6 |
completed | April 30, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.