Triple
T35752281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baku City Circuit |
E1033348
|
entity |
| Predicate | firstFormulaOneRaceWinner |
P99785
|
FINISHED |
| Object | Nico Rosberg |
E320939
|
NE 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: Nico Rosberg | Statement: [Baku City Circuit, firstFormulaOneRaceWinner, Nico Rosberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFormulaOneRaceWinner Context triple: [Baku City Circuit, firstFormulaOneRaceWinner, Nico Rosberg]
-
A.
firstFormulaOneWin
chosen
Indicates that the subject achieved their first victory in a Formula One race in relation to the specified event or context.
-
B.
firstFormulaOneGrandPrix
Indicates the event at which an entity made its debut participation in a Formula One Grand Prix.
-
C.
firstPolePositionDriver
Indicates the driver who achieved the very first pole position in a given racing event or series.
-
D.
totalFormulaOneWins
Indicates the total number of Formula One race victories achieved by a given driver, team, or other relevant entity.
-
E.
firstF1RaceHeld
Indicates that the subject is the location or venue where the first Formula 1 race was held.
- F. None of above.
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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38ae1268cc8190bd995b474aa5f023 |
completed | June 22, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.