Triple
T24976617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raleigh Superbe |
E625038
|
entity |
| Predicate | typicalGearCount |
P92307
|
FINISHED |
| Object | 3-speed |
—
|
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: 3-speed | Statement: [Raleigh Superbe, typicalGearCount, 3-speed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGearCount Context triple: [Raleigh Superbe, typicalGearCount, 3-speed]
-
A.
hasNumberOfSpokes
Indicates the relationship that specifies how many spokes are present in or associated with an object.
-
B.
numberOfSpokes
Indicates the count of individual spokes associated with or contained in a given object or structure.
-
C.
hasNumberOfGears
chosen
Indicates that an entity possesses a specified count of gears as a characteristic or component.
-
D.
typicalGear
Indicates that the object represents the usual or standard equipment or gear commonly associated with the subject.
-
E.
shaftCount
Indicates the number of shafts associated with or contained in an object or system.
- 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 18, 2026, 6:02 a.m.