Triple
T16192391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magny-Cours Circuit |
E392972
|
entity |
| Predicate | lastF1FrenchGPYear |
P73556
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Magny-Cours Circuit, lastF1FrenchGPYear, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastF1FrenchGPYear Context triple: [Magny-Cours Circuit, lastF1FrenchGPYear, 2008]
-
A.
lastFormulaOneGrandPrixYear
chosen
Indicates the year in which the most recent Formula One Grand Prix involving the given entity took place.
-
B.
firstTourDeFranceFinishYear
Indicates the year in which an entity (typically a cyclist) achieved their first finish in the Tour de France.
-
C.
lastFormulaOneSeason
Indicates the specific Formula One racing season in which an entity most recently participated or was active.
-
D.
f1CareerEndYear
Indicates the year in which an individual's professional career in a given field or role came to an end.
-
E.
firstTourDeFranceYear
Indicates the year in which an entity (typically a cyclist) first participated in the Tour de France.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d6975c8190a512a65d5b0021bb |
completed | April 17, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.