Triple
T24976513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raleigh Grifter |
E625036
|
entity |
| Predicate | gearHubManufacturer |
P157492
|
FINISHED |
| Object | Sturmey-Archer |
—
|
NE NERFINISHED |
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: Sturmey-Archer | Statement: [Raleigh Grifter, gearHubManufacturer, Sturmey-Archer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gearHubManufacturer Context triple: [Raleigh Grifter, gearHubManufacturer, Sturmey-Archer]
-
A.
bikeManufacturer
Indicates that one entity is the manufacturer or producer of a bicycle associated with another entity.
-
B.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
C.
manufacturerStatus
Indicates the current operational or business condition of a manufacturer in relation to the product or agreement in question.
-
D.
performancePartsBrand
Indicates that one entity is the brand or manufacturer associated with a set of performance parts used or referenced by another entity.
-
E.
alsoManufacturedBy
Indicates that an item or product is produced by an additional manufacturer beyond the primary or previously mentioned one.
- F. None of above. chosen
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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4490283c481908c18246dc7125eec |
completed | May 1, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f448fe11f08190bdd53ca7ba2d51e4 |
completed | May 1, 2026, 6:32 a.m. |
Created at: April 18, 2026, 6:02 a.m.