Triple
T26462184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AT01 |
E665665
|
entity |
| Predicate | notableDriverResult |
P131751
|
FINISHED |
| Object | Pierre Gasly 1st place 2020 Italian Grand Prix |
—
|
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: Pierre Gasly 1st place 2020 Italian Grand Prix | Statement: [AT01, notableDriverResult, Pierre Gasly 1st place 2020 Italian Grand Prix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDriverResult Context triple: [AT01, notableDriverResult, Pierre Gasly 1st place 2020 Italian Grand Prix]
-
A.
notableResultDriver
chosen
Indicates that an entity is a primary or especially influential factor contributing to a notable result or outcome for another entity.
-
B.
hasNotableDriver
Indicates that an entity is associated with a driver who is notable or distinguished in some recognized way.
-
C.
driveResult
Indicates the outcome or consequence produced by a driving action or driving-related event.
-
D.
possibleDriver
Indicates that an entity is a candidate or potential driver of another entity, such as a possible cause, regulator, or influencing factor.
-
E.
notableFormerDriver
Indicates that a person was previously a prominent or distinguished driver for the referenced entity (such as a team, organization, or company).
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: April 27, 2026, 12:13 a.m.