Triple
T35751813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1950 Belgian Grand Prix |
E1033337
|
entity |
| Predicate | championshipPointsAwarded |
P164874
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [1950 Belgian Grand Prix, championshipPointsAwarded, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championshipPointsAwarded Context triple: [1950 Belgian Grand Prix, championshipPointsAwarded, true]
-
A.
grandPrixPointsAwarded
chosen
Indicates that a certain number of championship points are awarded to a participant based on their result in a Grand Prix event.
-
B.
includesChampionshipPoints
Indicates that the referenced item contains or accounts for championship points as part of its data or outcome.
-
C.
seasonChampionPoints
Indicates the total points an entity has earned toward a championship ranking within a specific season.
-
D.
pointsAwarded
Indicates that a specified number of points has been granted to an entity as a result of some action or event.
-
E.
championshipStructure
Indicates the format or organizational setup used to determine a champion in a competition or tournament.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:06 p.m.