Triple
T28991085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 São Paulo Grand Prix qualifying |
E736026
|
entity |
| Predicate | sessionFormat |
P983
|
FINISHED |
| Object | three-part knockout qualifying |
—
|
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: three-part knockout qualifying | Statement: [2022 São Paulo Grand Prix qualifying, sessionFormat, three-part knockout qualifying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sessionFormat Context triple: [2022 São Paulo Grand Prix qualifying, sessionFormat, three-part knockout qualifying]
-
A.
sessionNotation
Indicates a notation or labeling that is specifically associated with a particular session or occurrence of an event.
-
B.
sessionType
chosen
Indicates the classification or category of a particular session based on its purpose, format, or context.
-
C.
sessionOf
Indicates that one entity is a session that belongs to, occurs within, or is associated with another entity (such as an event, course, or meeting series).
-
D.
sessionBehavior
Indicates how an entity acts, responds, or changes over the course of a specific session or interaction period.
-
E.
sessionTransport
Indicates a relationship where a session is carried or conveyed using a particular transport mechanism or protocol.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65f7d3b5c8190937aaddff2879989 |
completed | May 2, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:25 a.m.