Triple
T36109062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Japanese Grand Prix |
E1044439
|
entity |
| Predicate | constructorsTitleClinchedBy |
P43074
|
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: [2016 Japanese Grand Prix, constructorsTitleClinchedBy, Mercedes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructorsTitleClinchedBy Context triple: [2016 Japanese Grand Prix, constructorsTitleClinchedBy, Mercedes]
-
A.
resultedInConstructorsTitleFor
Indicates that one event, action, or condition caused or led to the assignment or creation of a specific constructor’s title for an entity.
-
B.
clinchedBy
chosen
Indicates that a particular outcome, title, or achievement has been definitively secured or guaranteed by a specific entity.
-
C.
titleAcquiredBy
Indicates that a particular title, rank, or designation has been obtained or earned by a specific entity.
-
D.
titleWinner
Indicates that an entity has won a specific title, championship, or formal award.
-
E.
constructorsTitleSeason
Indicates the season in which a constructor (e.g., a racing team) held or was associated with a specific title.
- 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_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: May 3, 2026, 4:08 p.m.