Triple
T35752223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 European Grand Prix |
E1033347
|
entity |
| Predicate | gridPositionOfPoleSitter |
P51158
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [2016 European Grand Prix, gridPositionOfPoleSitter, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gridPositionOfPoleSitter Context triple: [2016 European Grand Prix, gridPositionOfPoleSitter, 1]
-
A.
gridPosition
Indicates the specific location or coordinates an entity occupies within a structured grid or matrix.
-
B.
hasPoleAt
Indicates that one entity possesses, contains, or is associated with a pole located at a specific point or position.
-
C.
polePositions
chosen
Indicates that one entity holds the pole position (starting first) relative to another entity in a competitive event, such as a race.
-
D.
positionInPark
Indicates that one entity occupies a specific location or spot within a park.
-
E.
positionInSector
Indicates the specific location or placement of an entity within a defined sector or sub-area.
- 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_69f7a197aee48190bbd69f670a3f7721 |
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.