Triple
T21682869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BSA |
E535154
|
entity |
| Predicate | peakMotorcycleProductionPeriod |
P142904
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [BSA, peakMotorcycleProductionPeriod, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakMotorcycleProductionPeriod Context triple: [BSA, peakMotorcycleProductionPeriod, 1950s]
-
A.
beganProducingMotorcycles
Indicates that an entity started the activity or business of manufacturing motorcycles at a particular point in time.
-
B.
mainProductionPeriodStart
chosen
Indicates the point in time when the primary or main phase of production for something begins.
-
C.
yearModelTDevelopmentBegan
Indicates the calendar year in which the development of model T was initiated.
-
D.
productionModelDebut
Indicates the event or point in time when a model first enters official production or is publicly released as a production version.
-
E.
notableMotorcycleSeries
Indicates that a motorcycle series is notable or significant in some recognized context.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96c7c6a08190bbd9a89b8a3b921b |
completed | April 27, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:43 p.m.