Triple
T33399384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morocco women's national football team |
E855253
|
entity |
| Predicate | firstUNAFWomen'sTournamentTitle |
P206449
|
FINISHED |
| Object | 2020 |
—
|
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: 2020 | Statement: [Morocco women's national football team, firstUNAFWomen'sTournamentTitle, 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUNAFWomen'sTournamentTitle Context triple: [Morocco women's national football team, firstUNAFWomen'sTournamentTitle, 2020]
-
A.
hasWomenChampionship
Indicates that an entity organizes, hosts, or is associated with a championship specifically for women.
-
B.
WTAPlayerOfTheYearAward
Indicates that an entity has received the WTA Player of the Year award in a given year.
-
C.
firstCareerSinglesTitleFor
Indicates that one entity represents a person's first career singles title achievement in relation to the event or tournament where it was obtained.
-
D.
firstWomenSinglesAchiever
Indicates that the subject is the first female athlete ever to achieve a particular milestone or title in women’s singles competition.
-
E.
firstRegionalTournament
Indicates that an entity is participating in or associated with its first tournament at the regional level.
- 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:35 a.m.