Triple
T22852397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 World Figure Skating Championships |
E566386
|
entity |
| Predicate | ladies'SinglesChampion |
P81988
|
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: [2010 World Figure Skating Championships, ladies'SinglesChampion, Mao Asada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ladies'SinglesChampion Context triple: [2010 World Figure Skating Championships, ladies'SinglesChampion, Mao Asada]
-
A.
ladiesSinglesChampion
chosen
Indicates that one entity is the winner of the women's singles competition in a given event or tournament.
-
B.
firstWomenSinglesAchiever
Indicates that the subject is the first female athlete ever to achieve a particular milestone or title in women’s singles competition.
-
C.
womenPastChampion
Indicates that the subject has previously won a championship title in a women's competition or event.
-
D.
WTAPlayerOfTheYearAward
Indicates that an entity has received the WTA Player of the Year award in a given year.
-
E.
notableCompetitorLadies
Indicates that one entity is recognized as a significant female competitor or rival to another entity.
- 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.