Triple
T28107333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korea International Circuit |
E710398
|
entity |
| Predicate | lastFormulaOneRaceHeld |
P73556
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Korea International Circuit, lastFormulaOneRaceHeld, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastFormulaOneRaceHeld Context triple: [Korea International Circuit, lastFormulaOneRaceHeld, 2013]
-
A.
lastFormulaOneGrandPrix
Indicates that one entity is the most recent Formula One Grand Prix event associated with another entity (such as a driver, team, or location).
-
B.
lastFormulaOneGrandPrixYear
chosen
Indicates the year in which the most recent Formula One Grand Prix involving the given entity took place.
-
C.
firstFormulaOneGrandPrix
Indicates the event at which an entity made its debut participation in a Formula One Grand Prix.
-
D.
lastRace
Indicates that one race is the final or most recent race in a sequence or series of races.
-
E.
lastNASCARRaceHeld
Indicates that the subject is the location or event at which the most recent NASCAR race took place.
- 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_69f640c50dc88190a93952b9b87eb588 |
completed | May 2, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 9:09 p.m.