Triple
T32486484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustav Thöni |
E830255
|
entity |
| Predicate | wonWorldChampionshipGoldIn |
P104075
|
FINISHED |
| Object | alpine combined |
—
|
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: alpine combined | Statement: [Gustav Thöni, wonWorldChampionshipGoldIn, alpine combined]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonWorldChampionshipGoldIn Context triple: [Gustav Thöni, wonWorldChampionshipGoldIn, alpine combined]
-
A.
worldChampionshipsGoldMedal
Indicates that the subject has won a gold medal at a world championship competition.
-
B.
wonWorldTitleIn
chosen
Indicates that an entity achieved victory in a world championship title in a specified competition or year.
-
C.
wonWorldCupSilverMedal
Indicates that an entity achieved second place and received a silver medal in a World Cup competition.
-
D.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
-
E.
wonMedalAt
Indicates that an entity received a medal as a result of participating in a specific event or competition.
- 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c3f834c481909c129c8739168d34 |
completed | May 3, 2026, 3:41 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:58 a.m.