Triple
T35752608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 Formula One season |
E1033355
|
entity |
| Predicate | worldConstructorsChampion |
P147637
|
FINISHED |
| Object | Mercedes |
—
|
NE NERFINISHED |
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: Mercedes | Statement: [2017 Formula One season, worldConstructorsChampion, Mercedes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldConstructorsChampion Context triple: [2017 Formula One season, worldConstructorsChampion, Mercedes]
-
A.
worldConstructorsChampionThatSeason
chosen
Indicates that the subject was the Constructors' Champion in the specified racing season.
-
B.
constructorsChampionTeam
Indicates that a particular constructors team has won the championship title in a given competition or season.
-
C.
championOf
Indicates that one entity serves as the primary defender, advocate, or leading supporter of another entity, often working to promote or protect its interests.
-
D.
constructorsChampionships
Indicates the number of championship titles won by a constructor (e.g., a racing team) in a given competition or series.
-
E.
championNationality
Indicates the country or nationality that a champion represents or is associated with.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
Created at: May 3, 2026, 4:06 p.m.