Triple
T24321884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2027 FIFA Women’s World Cup |
E612987
|
entity |
| Predicate | firstWomenWorldCupInCountry |
P155550
|
FINISHED |
| Object | Brazil |
—
|
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: Brazil | Statement: [2027 FIFA Women’s World Cup, firstWomenWorldCupInCountry, Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWomenWorldCupInCountry Context triple: [2027 FIFA Women’s World Cup, firstWomenWorldCupInCountry, Brazil]
-
A.
firstWomen’sWorldCupInRegion
Indicates that a given Women’s World Cup tournament is the first ever held within a specified geographic region.
-
B.
firstWomen’sRugbyWorldCupAppearance
Indicates the event or year in which an entity (typically a national team) made its debut appearance in the Women’s Rugby World Cup.
-
C.
FIFAWomen'sWorldCupAllTimeTopScorer
Indicates that the subject holds the record for scoring the most goals in the history of the FIFA Women's World Cup.
-
D.
firstAmericanWomanAllAroundChampion
Indicates that the subject is the first American woman to win an all-around championship in a given sport or competition.
-
E.
firstWomenSinglesAchiever
Indicates that the subject is the first female athlete ever to achieve a particular milestone or title in women’s singles competition.
- F. None of above. chosen
Provenance (4 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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292ac7fc08190993f707f2f97e7f5 |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 1:51 a.m.