Triple
T6779384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico women's national under-20 football team |
E155640
|
entity |
| Predicate | concacafU20ChampionshipTitles |
P24687
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Mexico women's national under-20 football team, concacafU20ChampionshipTitles, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concacafU20ChampionshipTitles Context triple: [Mexico women's national under-20 football team, concacafU20ChampionshipTitles, 2018]
-
A.
concacafU20_titles
chosen
Indicates the number of CONCACAF Under-20 Championship titles an entity has won.
-
B.
CONCACAFChampionsCupTitles
Indicates the number of CONCACAF Champions Cup titles an entity has won.
-
C.
fifaU20WWC_titles
Indicates the number of FIFA U-20 Women's World Cup titles an entity has won.
-
D.
awardsCONCACAFChampionsCupBerthTo
Indicates that a CONCACAF Champions Cup qualification spot is granted to a team or entity as a result of a specific competition, achievement, or allocation process.
-
E.
CONMEBOLUEFACupOfChampionsTitles
Indicates the number of CONMEBOL–UEFA Cup of Champions titles an entity has won.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26a1634819099b8a3b3196a306a |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d095dcac8190bb9b943f50a7f885 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:14 p.m.