Triple
T36075557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1937 German Grand Prix |
E1043485
|
entity |
| Predicate | vehicleRegulations |
P30753
|
FINISHED |
| Object | 750 kg formula |
—
|
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: 750 kg formula | Statement: [1937 German Grand Prix, vehicleRegulations, 750 kg formula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleRegulations Context triple: [1937 German Grand Prix, vehicleRegulations, 750 kg formula]
-
A.
countryVehicleRegistrationSystem
Indicates a relationship where a country maintains or governs an official system for registering vehicles within its jurisdiction.
-
B.
vehicleRegistrationAuthority
Indicates the authority or organization responsible for officially registering a vehicle and maintaining its registration records.
-
C.
vehiclePolicy
chosen
Indicates a relationship where a policy governs, regulates, or defines rules and conditions for the use, operation, or management of a vehicle.
-
D.
roadTrafficRuleJurisdiction
Indicates the jurisdiction or authority under whose road traffic rules a given situation, entity, or action is governed.
-
E.
allowsVehicles
Indicates that one entity permits vehicles to enter, use, or be present within another entity’s area or domain.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.