Triple
T30521330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Rea |
E776699
|
entity |
| Predicate | primaryManufacturerRiddenFor |
P65898
|
FINISHED |
| Object | Kawasaki |
E1253657
|
NE 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: Kawasaki | Statement: [Jonathan Rea, primaryManufacturerRiddenFor, Kawasaki]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryManufacturerRiddenFor Context triple: [Jonathan Rea, primaryManufacturerRiddenFor, Kawasaki]
-
A.
manufacturerRiddenFor
chosen
Indicates that an entity (typically a rider) has ridden or been associated through riding with a particular manufacturer’s products.
-
B.
isRiddenBy
Indicates that an entity serves as a mount or vehicle that is being ridden by another entity.
-
C.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
D.
riderEquipment
Indicates that a rider is using, wearing, or otherwise equipped with a particular piece of equipment.
-
E.
usedManufacturer
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
- F. None of above.
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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a02f10505988190be5fd57566a90e0f |
completed | May 12, 2026, 9:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a27be73b1f48190b8f57b64f4e7450a |
completed | June 9, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_6a02f03a8c1481909e137e270119f7ef |
completed | May 12, 2026, 9:17 a.m. |
Created at: April 29, 2026, 8:17 p.m.