Triple
T16920192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sojourner |
E410424
|
entity |
| Predicate | wheelDesign |
P11362
|
FINISHED |
| Object | aluminum wheels with cleats |
—
|
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: aluminum wheels with cleats | Statement: [Sojourner, wheelDesign, aluminum wheels with cleats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wheelDesign Context triple: [Sojourner, wheelDesign, aluminum wheels with cleats]
-
A.
wheelType
chosen
Indicates the specific kind or category of wheel associated with an entity.
-
B.
wheelDiameter
Indicates the size of a wheel measured across its diameter.
-
C.
wheelName
Indicates that an entity has or is associated with a specific name assigned to a wheel.
-
D.
numberOfSpokes
Indicates the count of individual spokes associated with or contained in a given object or structure.
-
E.
wheelArrangementSystem
Indicates the specific configuration or system by which the wheels of a vehicle or rolling stock are arranged and organized.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cded2f8481909a20cc08b47e922e |
completed | April 18, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.