Triple
T28551127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicole Hosp |
E722886
|
entity |
| Predicate | worldCupWinsByDiscipline |
P98947
|
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: [Nicole Hosp, worldCupWinsByDiscipline, slalom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldCupWinsByDiscipline Context triple: [Nicole Hosp, worldCupWinsByDiscipline, slalom]
-
A.
worldCupWinsInDiscipline
chosen
Indicates the number of times an entity has won a World Cup in a specific discipline or category.
-
B.
WorldCupDisciplineTitles
Indicates the number or types of discipline-specific titles an entity has won at the World Cup.
-
C.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
-
D.
WorldChampionshipsDiscipline
Indicates the specific discipline or event category in which a world championship competition is held or a title is contested.
-
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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 28, 2026, 3:42 a.m.