Triple
T36075199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1984 Brazilian Grand Prix |
E1043477
|
entity |
| Predicate | ayrtonSennaGridPosition |
P185375
|
FINISHED |
| Object | 17 |
—
|
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: 17 | Statement: [1984 Brazilian Grand Prix, ayrtonSennaGridPosition, 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ayrtonSennaGridPosition Context triple: [1984 Brazilian Grand Prix, ayrtonSennaGridPosition, 17]
-
A.
polePositionGridPosition
Indicates the starting grid position from which the pole-sitter (fastest qualifier) begins the race.
-
B.
ayrtonSennaResult
Indicates the race result or finishing status associated with Ayrton Senna in a given event or competition.
-
C.
gridPositionOfNicoRosberg
Indicates the starting grid position that Nico Rosberg occupies in a given race.
-
D.
polePositionDriverTeam
Indicates which team the driver who secured pole position in a race was driving for.
-
E.
polePositionLapNumber
Indicates the specific lap number on which a competitor achieved the pole position time in a qualifying session.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be520f148190ba200bf3dbf40656 |
completed | May 3, 2026, 9:29 p.m. |
Created at: May 3, 2026, 4:08 p.m.