Triple
T38131105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes W09 |
E952222
|
entity |
| Predicate | driversChampionshipResultWithValtteriBottas |
P190255
|
FINISHED |
| Object | 5th |
—
|
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: 5th | Statement: [Mercedes W09, driversChampionshipResultWithValtteriBottas, 5th]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: driversChampionshipResultWithValtteriBottas Context triple: [Mercedes W09, driversChampionshipResultWithValtteriBottas, 5th]
-
A.
driversChampionshipResultWithLewisHamilton
Indicates the outcome or standing in a drivers’ championship specifically in relation to Lewis Hamilton’s performance or result.
-
B.
ayrtonSennaResult
Indicates the race result or finishing status associated with Ayrton Senna in a given event or competition.
-
C.
polePositionDriverNationality
Indicates the nationality associated with the driver who secured pole position in a race.
-
D.
polePositionDriverTeam
Indicates which team the driver who secured pole position in a race was driving for.
-
E.
driversChampionshipBestResult
Indicates the best finishing position a driver has ever achieved in a drivers’ championship.
- 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc42b9334819099929649b7ef68ea |
completed | May 7, 2026, 4:56 p.m. |
Created at: May 3, 2026, 4:21 p.m.