Triple
T30521597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autodromo Internazionale Enzo e Dino Ferrari |
E776705
|
entity |
| Predicate | F1EventNameIn2023 |
P133055
|
FINISHED |
| Object | Made in Italy and Emilia-Romagna Grand Prix |
—
|
NE NERFINISHED |
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: Made in Italy and Emilia-Romagna Grand Prix | Statement: [Autodromo Internazionale Enzo e Dino Ferrari, F1EventNameIn2023, Made in Italy and Emilia-Romagna Grand Prix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: F1EventNameIn2023 Context triple: [Autodromo Internazionale Enzo e Dino Ferrari, F1EventNameIn2023, Made in Italy and Emilia-Romagna Grand Prix]
-
A.
F1GrandsPrixEntered
Indicates the number of Formula 1 Grand Prix events that an entity has officially entered.
-
B.
grandPrixName
chosen
Indicates the official name assigned to a particular Grand Prix event.
-
C.
lastFormulaOneGrandPrix
Indicates that one entity is the most recent Formula One Grand Prix event associated with another entity (such as a driver, team, or location).
-
D.
grandPrixEventNumberInSeason
Indicates the ordinal position of a specific Grand Prix event within the sequence of all Grand Prix events held in a given season.
-
E.
F1Seasons
Indicates the seasons in which a given Formula 1 entity (such as a driver, team, or event) participated or was active.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:17 p.m.