Triple
T37668606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electra Glide |
E937887
|
entity |
| Predicate | typicalWheelType |
P11362
|
FINISHED |
| Object | cast or laced touring wheels |
—
|
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: cast or laced touring wheels | Statement: [Electra Glide, typicalWheelType, cast or laced touring wheels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWheelType Context triple: [Electra Glide, typicalWheelType, cast or laced touring wheels]
-
A.
wheelType
chosen
Indicates the specific kind or category of wheel associated with an entity.
-
B.
typicalTractionType
Indicates the usual or most common type of traction mechanism associated with an entity (such as how it is typically powered or driven).
-
C.
wheelWeightTypical
Indicates the typical or standard weight associated with a wheel.
-
D.
bicycleType
Indicates the specific kind or category of bicycle associated with an entity.
-
E.
numberOfWheels
Indicates the quantity of wheels that an entity possesses or is associated with.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.