Triple
T15998660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Figure Skating Championships |
E388040
|
entity |
| Predicate | womenSinglesIntroduced |
P107848
|
FINISHED |
| Object | 1906 |
—
|
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: 1906 | Statement: [World Figure Skating Championships, womenSinglesIntroduced, 1906]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenSinglesIntroduced Context triple: [World Figure Skating Championships, womenSinglesIntroduced, 1906]
-
A.
ladiesSinglesChampion
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.
firstWomensTestYear
Indicates the year in which an entity (typically a team or country) played its first women's Test match.
-
D.
WTAdebutYear
Indicates the year in which a player first competed in a Women’s Tennis Association (WTA) event at the professional level.
-
E.
introducedAsWorldCupDisciplineIn
chosen
Indicates that a particular sport or event was officially added as a discipline in the World Cup in a specified year or edition.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4e871c819082d7b1c1eaf5b4fe |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.