Triple
T13578580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz W196 |
E324349
|
entity |
| Predicate | debutResult |
P110137
|
FINISHED |
| Object | victory at 1954 French Grand Prix |
—
|
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: victory at 1954 French Grand Prix | Statement: [Mercedes-Benz W196, debutResult, victory at 1954 French Grand Prix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutResult Context triple: [Mercedes-Benz W196, debutResult, victory at 1954 French Grand Prix]
-
A.
debuted
Indicates that an entity made its first public appearance, performance, or introduction at a particular time or place.
-
B.
debutFeatureOf
Indicates that one entity is the first major or initial feature (such as a debut work or appearance) associated with another entity.
-
C.
debutTitleOf
Indicates that one entity is the first work (e.g., book, album, film) with which another entity made its debut.
-
D.
debutWork
Indicates the work (such as a book, film, album, or performance) that marks an entity’s first public or professional appearance in a given field.
-
E.
debutFormat
Indicates the medium or format (such as film, television, stage, etc.) in which an entity first made its debut.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb02de1988190af2d473973ecd529 |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaf7fefa881908471f1400f813ccc |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:48 p.m.