Triple
T35795253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1950 French Grand Prix |
E1034813
|
entity |
| Predicate | engineFormula |
P56323
|
FINISHED |
| Object | 1.5-litre supercharged or 4.5-litre naturally aspirated |
—
|
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: 1.5-litre supercharged or 4.5-litre naturally aspirated | Statement: [1950 French Grand Prix, engineFormula, 1.5-litre supercharged or 4.5-litre naturally aspirated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engineFormula Context triple: [1950 French Grand Prix, engineFormula, 1.5-litre supercharged or 4.5-litre naturally aspirated]
-
A.
engine
Indicates a relationship where something functions as, contains, or is driven by an engine as its source of mechanical power or propulsion.
-
B.
wheelFormula
Indicates the specific arrangement and count of wheels configured on a vehicle or similar object.
-
C.
engineClass
Indicates the classification or type category assigned to an engine within a given system or context.
-
D.
engineComponent
Indicates that one entity functions as a component or part of an engine in relation to another entity.
-
E.
engineTypeUsed
chosen
Indicates that a particular type of engine is employed or utilized in relation to a specified entity 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:06 p.m.