Triple
T35754040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 Beijing ePrix |
E1033391
|
entity |
| Predicate | fanBoostDrivers |
P120067
|
FINISHED |
| Object | Lucas di Grassi |
—
|
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: Lucas di Grassi | Statement: [2014 Beijing ePrix, fanBoostDrivers, Lucas di Grassi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanBoostDrivers Context triple: [2014 Beijing ePrix, fanBoostDrivers, Lucas di Grassi]
-
A.
featuresDrivers
chosen
Indicates that something includes or highlights specific drivers as notable components or participants.
-
B.
racingDriver
Indicates that one entity is a racing driver, i.e., a person who competes in motor races as a driver.
-
C.
driversChampionFastestLaps
Indicates that the driver won the championship and also recorded the highest number of fastest laps.
-
D.
driversChampionWins
Indicates the number of championship titles won by a particular driver.
-
E.
championTeamDrivers
Indicates that the specified drivers were the official championship-winning drivers for the given team in a particular competition or season.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a199ab248190acb81776a46011bf |
completed | May 3, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.