Triple
T22852432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 World Figure Skating Championships |
E566387
|
entity |
| Predicate | silverMedalistLadies |
P25479
|
FINISHED |
| Object | Mao Asada |
—
|
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: Mao Asada | Statement: [2007 World Figure Skating Championships, silverMedalistLadies, Mao Asada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: silverMedalistLadies Context triple: [2007 World Figure Skating Championships, silverMedalistLadies, Mao Asada]
-
A.
womenSilverMedalist
chosen
Indicates that the subject is the female athlete who achieved second place (won the silver medal) in a specified competition or event.
-
B.
silverMedalist
Indicates that an entity finished in second place in a competition or event, earning the silver medal.
-
C.
womenGoldMedalists
Indicates that the subject is a woman who has won a gold medal in a specified competition or event.
-
D.
goldMedalistInWomen'sGiantSlalom
Indicates that someone is the winner of the gold medal in the women's giant slalom event in a specific competition or year.
-
E.
worldChampionshipSilverMedals
Indicates that the subject has won one or more silver medals 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eb9a5b8819091cbb4ac42fbf778 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:36 p.m.