Triple
T21987787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Andretti |
E543008
|
entity |
| Predicate | FormulaOneWorldChampionYear |
P146171
|
FINISHED |
| Object | 1978 |
—
|
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: 1978 | Statement: [Mario Andretti, FormulaOneWorldChampionYear, 1978]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FormulaOneWorldChampionYear Context triple: [Mario Andretti, FormulaOneWorldChampionYear, 1978]
-
A.
youngestWorldDriversChampionAtTime
Indicates that, at the specified time, the person held the record as the youngest Formula 1 World Drivers' Champion.
-
B.
grandPrixDebutYear
Indicates the year in which an entity first participated in a Grand Prix event.
-
C.
numberOfF1WorldChampionships
Indicates the number of Formula 1 World Championship titles that an entity has won.
-
D.
grandTourWinner
Indicates that the subject is the overall winner of a major multi-stage cycling race (a Grand Tour).
-
E.
lastFormulaOneGrandPrixYear
Indicates the year in which the most recent Formula One Grand Prix involving the given entity took place.
- F. None of above. chosen
Provenance (4 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270ad0d48190bd822289ce18195c |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:04 p.m.