Triple
T36034703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-AMG Petronas Formula One Team |
E1042364
|
entity |
| Predicate | worksTeamReturnToF1 |
P191397
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Mercedes-AMG Petronas Formula One Team, worksTeamReturnToF1, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksTeamReturnToF1 Context triple: [Mercedes-AMG Petronas Formula One Team, worksTeamReturnToF1, 2010]
-
A.
racingTeam
Indicates that one entity is a racing team associated with, employing, or represented by the other entity in a competitive racing context.
-
B.
fieldsTeam
Indicates that an entity is a member of, or associated as part of, a particular team.
-
C.
F1TeamsDroveFor
Indicates that a driver was a member of and raced for a particular Formula 1 team.
-
D.
firstFormulaOneTeam
Indicates the Formula One team for which an entity (typically a driver) first competed.
-
E.
manufacturerTeamFor
Indicates a relationship where a specific team is responsible for manufacturing or producing a particular product or item.
- 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdf22ab8881908b257f16522920c5 |
completed | May 7, 2026, 6:51 p.m. |
Created at: May 3, 2026, 4:07 p.m.