Triple
T28107258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Bull Ring modern layout |
E710396
|
entity |
| Predicate | firstF1RaceOnLayout |
P130325
|
FINISHED |
| Object | 1997 Austrian Grand Prix |
—
|
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: 1997 Austrian Grand Prix | Statement: [Red Bull Ring modern layout, firstF1RaceOnLayout, 1997 Austrian Grand Prix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstF1RaceOnLayout Context triple: [Red Bull Ring modern layout, firstF1RaceOnLayout, 1997 Austrian Grand Prix]
-
A.
firstF1RaceHeld
chosen
Indicates that the subject is the location or venue where the first Formula 1 race was held.
-
B.
firstF1RaceInRegion
Indicates that a given Formula 1 race is the first F1 race ever held within a specified geographic region.
-
C.
firstF1Season
Indicates the Formula 1 season in which an entity (typically a driver or team) first competed.
-
D.
firstCupRace
Indicates the inaugural or earliest cup race event associated with the given entity or context.
-
E.
firstF1GrandPrixYear
Indicates the year in which a given Formula 1 Grand Prix was first held.
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69ffb1218cb08190a814c7f0833501a7 |
completed | May 9, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69ffb083d6988190b2757e0cfd629b75 |
completed | May 9, 2026, 10:09 p.m. |
Created at: April 27, 2026, 9:09 p.m.