Triple
T38358723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South African Grand Prix |
E1046407
|
entity |
| Predicate | lastChampionshipYear |
P151176
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [South African Grand Prix, lastChampionshipYear, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastChampionshipYear Context triple: [South African Grand Prix, lastChampionshipYear, 1993]
-
A.
championshipEndYear
chosen
Indicates the calendar year in which a particular championship or title-holding period concludes.
-
B.
lastChampionshipGameSeason
Indicates the season in which an entity most recently participated in a championship game.
-
C.
lastSeasonChampion
Indicates that the subject is the champion or winner of the immediately preceding season of the relevant competition or event.
-
D.
seasonChampionshipYear
Indicates the specific year in which a particular season’s championship took place or was awarded.
-
E.
lastWinnerSeason
Indicates that the subject is the most recent winner of a recurring competition or award in the specified 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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:31 p.m.