Triple
T7531523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 Russian Grand Prix |
E178033
|
entity |
| Predicate | firstRussianGPInF1 |
P56267
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [2014 Russian Grand Prix, firstRussianGPInF1, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRussianGPInF1 Context triple: [2014 Russian Grand Prix, firstRussianGPInF1, true]
-
A.
firstFormulaOneGrandPrix
Indicates the event at which an entity made its debut participation in a Formula One Grand Prix.
-
B.
firstF1RaceInRegion
chosen
Indicates that a given Formula 1 race is the first F1 race ever held within a specified geographic region.
-
C.
firstIndyCarSeriesRace
Indicates the event that was a subject's first race participation in the IndyCar Series.
-
D.
firstTourDeFranceHeld
Indicates that the subject is the location or context in which the first Tour de France event was held.
-
E.
firstFormulaOneTeam
Indicates the Formula One team for which an entity (typically a driver) first competed.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8217b1c8190b3db453cee0fc4fd |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.