Triple
T28107332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korea International Circuit |
E710398
|
entity |
| Predicate | firstFormulaOneRaceHeld |
P102108
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Korea International Circuit, firstFormulaOneRaceHeld, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFormulaOneRaceHeld Context triple: [Korea International Circuit, firstFormulaOneRaceHeld, 2010]
-
A.
firstF1RaceHeld
Indicates that the subject is the location or venue where the first Formula 1 race was held.
-
B.
firstF1Season
Indicates the Formula 1 season in which an entity (typically a driver or team) first competed.
-
C.
firstF1GrandPrixYear
chosen
Indicates the year in which a given Formula 1 Grand Prix was first held.
-
D.
firstNASCARRaceHeld
Indicates that the subject entity is the location or event where the first NASCAR race was held.
-
E.
firstFormulaOneWin
Indicates that the subject achieved their first victory in a Formula One race in relation to the specified event or context.
- 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_69ffb1f0b03c81909ddb81f07ce74e88 |
completed | May 9, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ffb1662b2481908582e0612744f4c5 |
completed | May 9, 2026, 10:12 p.m. |
Created at: April 27, 2026, 9:09 p.m.