Triple
T30020705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shizuka Arakawa |
E762727
|
entity |
| Predicate | World Championships title |
P153121
|
FINISHED |
| Object | 2004 World Figure Skating Championships |
—
|
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: 2004 World Figure Skating Championships | Statement: [Shizuka Arakawa, World Championships title, 2004 World Figure Skating Championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: World Championships title Context triple: [Shizuka Arakawa, World Championships title, 2004 World Figure Skating Championships]
-
A.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
-
B.
worldTitles
Indicates that an entity has won one or more world championship titles in a given field or competition.
-
C.
worldChampionshipTitleYear
Indicates the specific year in which an entity won a world championship title.
-
D.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
-
E.
worldChampionTitleEdition
chosen
Indicates the specific edition or instance of a world champion title associated with a given world champion title.
- 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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 29, 2026, 6:47 p.m.