Triple
T11292635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikaela Shiffrin |
E267364
|
entity |
| Predicate | hasWorldCupDisciplineWinsIn |
P31748
|
FINISHED |
| Object | slalom |
—
|
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: slalom | Statement: [Mikaela Shiffrin, hasWorldCupDisciplineWinsIn, slalom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorldCupDisciplineWinsIn Context triple: [Mikaela Shiffrin, hasWorldCupDisciplineWinsIn, slalom]
-
A.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
-
B.
WorldCupDisciplineTitles
chosen
Indicates the number or types of discipline-specific titles an entity has won at the World Cup.
-
C.
WorldCupRaceWins
Indicates the number of race victories an entity has achieved in World Cup competitions.
-
D.
wonMedalAt
Indicates that an entity received a medal as a result of participating in a specific event or competition.
-
E.
worldChampionshipsGoldMedal
Indicates that the subject has won a gold medal at a world championship 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e989fdac81909a4a75f1f68b55c6 |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.