Triple
T24224349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BRM |
E601550
|
entity |
| Predicate | wonConstructorsChampionshipInYear |
P31224
|
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, wonConstructorsChampionshipInYear, 1962]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonConstructorsChampionshipInYear Context triple: [BRM, wonConstructorsChampionshipInYear, 1962]
-
A.
constructorsChampionships
Indicates the number of championship titles won by a constructor (e.g., a racing team) in a given competition or series.
-
B.
championshipEndYear
Indicates the calendar year in which a particular championship or title-holding period concludes.
-
C.
yearOfWin
chosen
Indicates the specific calendar year in which an entity achieved a particular victory or win.
-
D.
seasonChampionshipYear
Indicates the specific year in which a particular season’s championship took place or was awarded.
-
E.
worldChampionshipMatchYear
Indicates the year in which a given world championship match took place.
- 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