Triple
T24224351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BRM |
E601550
|
entity |
| Predicate | wonDriversChampionshipInYear |
P146171
|
FINISHED |
| Object | 1962 |
—
|
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: 1962 | Statement: [BRM, wonDriversChampionshipInYear, 1962]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonDriversChampionshipInYear Context triple: [BRM, wonDriversChampionshipInYear, 1962]
-
A.
wonDriversTitleIn
Indicates that a driver secured the drivers’ championship title in a specified competition or season.
-
B.
wonDriversTitleWithDriver
Indicates that a team or entity secured a drivers’ championship title in association with a specific driver.
-
C.
driversChampionshipWin
Indicates that a driver has won the overall drivers’ championship title in a given racing series or season.
-
D.
mostPopularDriverAwardYears
Indicates the years in which a given driver received the most popular driver award.
-
E.
FormulaOneWorldChampionYear
chosen
Indicates the specific year in which an entity held the title of Formula One World Champion.
- 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287ddfecc81909f5396857974bc8c |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, midnight