Triple
T13477035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-AMG Petronas Formula One Team |
E318275
|
entity |
| Predicate | constructorChampionshipWinningSeasons |
P39963
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Mercedes-AMG Petronas Formula One Team, constructorChampionshipWinningSeasons, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructorChampionshipWinningSeasons Context triple: [Mercedes-AMG Petronas Formula One Team, constructorChampionshipWinningSeasons, 2014]
-
A.
constructorChampionshipWin
Indicates that a constructor (team) has won a championship title in a given competition or season.
-
B.
championshipSeasons
chosen
Indicates the seasons or years during which an entity won a championship title.
-
C.
teamWonChampionship
Indicates that a particular team has secured victory in a championship competition.
-
D.
constructorsChampionships
Indicates the number of championship titles won by a constructor (e.g., a racing team) in a given competition or series.
-
E.
driversChampionshipWin
Indicates that a driver has won the overall drivers’ championship title in a given racing series or season.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2551b48190a074fd256791742d |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.