Triple
T33045271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1969 United States Grand Prix |
E845576
|
entity |
| Predicate | seasonTotalRaces |
P55681
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [1969 United States Grand Prix, seasonTotalRaces, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonTotalRaces Context triple: [1969 United States Grand Prix, seasonTotalRaces, 11]
-
A.
numberOfRaces
chosen
Indicates the total count of races associated with a given entity or event.
-
B.
seasonCountDetail
Indicates the specific number of seasons associated with something, often including additional contextual details about that season count.
-
C.
raceWins
Indicates that one participant wins or finishes ahead of another in a race or competitive event.
-
D.
raceWinSeason
Indicates that an entity wins at least one race during a specified racing season.
-
E.
alsoRacedOn
Indicates that two entities participated as competitors in at least one of the same races or racing events.
- 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_69f3495242e48190996a2cb2beab5455 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 1, 2026, 1:24 a.m.