Triple
T36115844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalle Rovanperä |
E1044611
|
entity |
| Predicate | becameYoungestWRCWorldChampion |
P185711
|
FINISHED |
| Object | 2022 |
—
|
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: 2022 | Statement: [Kalle Rovanperä, becameYoungestWRCWorldChampion, 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameYoungestWRCWorldChampion Context triple: [Kalle Rovanperä, becameYoungestWRCWorldChampion, 2022]
-
A.
becameYoungestWRCEventWinner
chosen
Indicates that an entity achieved the status of being the youngest person ever to win a World Rally Championship (WRC) event.
-
B.
becameYoungestF1Driver
Indicates that a person achieved the status of being the youngest driver ever to compete in a Formula 1 race at that time.
-
C.
becameYoungestGrandPrixWinner
Indicates that one entity achieved the status of being the youngest winner of a Grand Prix event relative to all previous winners.
-
D.
ageAtFirstWRCWin
Indicates the age a person was when they achieved their first World Rally Championship (WRC) event victory.
-
E.
firstWRCWin
Indicates the event or instance in which an entity achieves its first victory in a World Rally Championship (WRC) competition.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.