Triple
T35795452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Australian Grand Prix |
E1034817
|
entity |
| Predicate | qualifyingFormatType |
P101458
|
FINISHED |
| Object | elimination-style 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: elimination-style qualifying | Statement: [2016 Australian Grand Prix, qualifyingFormatType, elimination-style qualifying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: qualifyingFormatType Context triple: [2016 Australian Grand Prix, qualifyingFormatType, elimination-style qualifying]
-
A.
hasProductionFormatEligibility
Indicates that something qualifies for or is allowed to use a particular production format.
-
B.
operatesInFormat
Indicates that an entity functions, performs its role, or is carried out using a specified format.
-
C.
hasPlayFormat
chosen
Indicates that something (such as a game, media, or activity) is associated with a particular format or mode in which it is played or experienced.
-
D.
typicalRecognitionFormat
Indicates the usual or standard format in which something is recognized, identified, or acknowledged.
-
E.
presentedInFormat
Indicates that something is expressed, delivered, or made available using a particular format or representation.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.