Triple
T13477146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-AMG F1 W06 Hybrid |
E318277
|
entity |
| Predicate | championshipResultDriversHamilton |
P102464
|
FINISHED |
| Object | 1st |
—
|
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: 1st | Statement: [Mercedes-AMG F1 W06 Hybrid, championshipResultDriversHamilton, 1st]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championshipResultDriversHamilton Context triple: [Mercedes-AMG F1 W06 Hybrid, championshipResultDriversHamilton, 1st]
-
A.
driversChampionshipWin
chosen
Indicates that a driver has won the overall drivers’ championship title in a given racing series or season.
-
B.
lastFormulaOneSeason
Indicates the specific Formula One racing season in which an entity most recently participated or was active.
-
C.
championTeamDrivers
Indicates that the specified drivers were the official championship-winning drivers for the given team in a particular competition or season.
-
D.
winnerLaps
Indicates that one participant completed more laps than another, thereby winning based on lap count.
-
E.
bestFormulaOneChampionshipPosition
Indicates the highest (best) finishing position an entity has ever achieved in a Formula One World Championship 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2551b48190a074fd256791742d |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.