Triple
T32821836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Marino Grand Prix |
E839453
|
entity |
| Predicate | mostFamousCircuit |
P175146
|
FINISHED |
| Object | Autodromo Enzo e Dino Ferrari |
—
|
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: Autodromo Enzo e Dino Ferrari | Statement: [San Marino Grand Prix, mostFamousCircuit, Autodromo Enzo e Dino Ferrari]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostFamousCircuit Context triple: [San Marino Grand Prix, mostFamousCircuit, Autodromo Enzo e Dino Ferrari]
-
A.
raceCircuitName
Indicates the name assigned to a specific race circuit within a racing context.
-
B.
hasMotorRacingCircuit
Indicates that a location or entity possesses, contains, or is the site of a motor racing circuit.
-
C.
raceWinCircuit
Indicates that an entity wins a race that takes place on a specific circuit.
-
D.
GrandPrixCircuitLengthKm
Indicates the total length, measured in kilometers, of a Grand Prix racing circuit.
-
E.
formerF1Venue
Indicates that a location previously hosted Formula 1 races but is no longer an active venue for the championship.
- 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_69f3493df9008190a8f5d843dcd77704 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6ce6c76bc8190b865343d3f5810c9 |
completed | May 3, 2026, 4:26 a.m. |
Created at: May 1, 2026, 1:15 a.m.