Triple
T33406426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 World Car Design of the Year |
E855448
|
entity |
| Predicate | winnerOriginCountry |
P40096
|
FINISHED |
| Object | South Korea |
—
|
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: South Korea | Statement: [2022 World Car Design of the Year, winnerOriginCountry, South Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerOriginCountry Context triple: [2022 World Car Design of the Year, winnerOriginCountry, South Korea]
-
A.
winnerCountry
Indicates the country that achieved first place or victory in a given competition, event, or contest.
-
B.
nationalityOfWinner
chosen
Indicates the country or nationality associated with the winner of a given event or competition.
-
C.
leaderCountryOfOrigin
Indicates the country from which a leader originates or holds primary national affiliation.
-
D.
ownerCountry
Indicates the country that has legal ownership or control over a given entity.
-
E.
countryOfOrigin
Indicates the country from which an entity originally comes or was first produced, created, or established.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:36 a.m.