Triple
T36045624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Leclerc |
E1042662
|
entity |
| Predicate | firstFerrariWinAtMonza |
P204709
|
FINISHED |
| Object | 2019 Italian Grand Prix |
E472803
|
NE 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: 2019 Italian Grand Prix | Statement: [Charles Leclerc, firstFerrariWinAtMonza, 2019 Italian Grand Prix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFerrariWinAtMonza Context triple: [Charles Leclerc, firstFerrariWinAtMonza, 2019 Italian Grand Prix]
-
A.
firstFormulaOneWin
Indicates that the subject achieved their first victory in a Formula One race in relation to the specified event or context.
-
B.
firstMotoGPWin
Indicates that the event or race represents the first MotoGP victory achieved by the specified rider.
-
C.
firstF1Season
Indicates the Formula 1 season in which an entity (typically a driver or team) first competed.
-
D.
lapsAtMonza
Indicates that an entity completes one or more laps at the Monza racing circuit.
-
E.
firstF1RaceHeld
Indicates that the subject is the location or venue where the first Formula 1 race was held.
- F. None of above. chosen
Provenance (5 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_69f76e2e41f8819091f9fb0536920fec |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38cb9d5a6c81909fe53eefd6ff29d7 |
completed | June 22, 2026, 5:43 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:07 p.m.