Triple
T13503021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nico Rosberg |
E320939
|
entity |
| Predicate | FormulaOneRetirementSeason |
P52117
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Nico Rosberg, FormulaOneRetirementSeason, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FormulaOneRetirementSeason Context triple: [Nico Rosberg, FormulaOneRetirementSeason, 2016]
-
A.
lastFormulaOneSeason
chosen
Indicates the specific Formula One racing season in which an entity most recently participated or was active.
-
B.
retiredFromRacing
Indicates that an entity has permanently stopped participating in competitive racing activities.
-
C.
enteredFormulaOne
Indicates that an entity began competing in Formula One racing, marking its entry into the Formula One championship.
-
D.
bestFormulaOneChampionshipSeason
Indicates that, among all Formula One championship seasons associated with an entity (typically a driver or team), this specific season is considered their best or most outstanding.
-
E.
debutInFormulaOneSeason
Indicates the Formula One season during which an entity (typically a driver or team) made its first official appearance in the championship.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf50f4a48190a44fc537b78c32fd |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.