Triple
T36075628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1937 Italian Grand Prix |
E1043487
|
entity |
| Predicate | podiumLockoutTeam |
P184556
|
FINISHED |
| Object | Mercedes-Benz |
—
|
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-Benz | Statement: [1937 Italian Grand Prix, podiumLockoutTeam, Mercedes-Benz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: podiumLockoutTeam Context triple: [1937 Italian Grand Prix, podiumLockoutTeam, Mercedes-Benz]
-
A.
topTeam
Indicates that the referenced team is ranked as the best or leading team within a given group, competition, or context.
-
B.
goldenBootWinnerTeam
Indicates the team for which a player was playing when they won the Golden Boot award.
-
C.
championQualifiedTeam
Indicates that a team has successfully qualified to participate in a championship competition.
-
D.
MVPTeam
Indicates that a particular team is recognized as having the Most Valuable Player (MVP) or is designated as the MVP team in a given context or competition.
-
E.
runnerUpTeamFranchise
Indicates the team franchise that finished in second place (as the runner-up) in a given competition or season.
- F. None of above. chosen
Provenance (4 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b35e32d481909ef0220e6f6ff4a8 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2c66054819083897e25edb65ba7 |
completed | May 3, 2026, 8:40 p.m. |
Created at: May 3, 2026, 4:08 p.m.