Triple
T6779385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico women's national under-20 football team |
E155640
|
entity |
| Predicate | concacafU20ChampionshipRunnersUp |
P72768
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Mexico women's national under-20 football team, concacafU20ChampionshipRunnersUp, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concacafU20ChampionshipRunnersUp Context triple: [Mexico women's national under-20 football team, concacafU20ChampionshipRunnersUp, 2014]
-
A.
concacafU20_titles
Indicates the number of CONCACAF Under-20 Championship titles an entity has won.
-
B.
fifaU20WWC_runnersUp
Indicates the team that finished as runners-up (second place) in a given edition of the FIFA U-20 Women's World Cup.
-
C.
fifaU20WWC_runnersUpYear
Indicates the year in which a team finished as runners-up in the FIFA U-20 Women's World Cup.
-
D.
wonCONCACAFChampionsCup
Indicates that one entity achieved victory in the CONCACAF Champions Cup competition.
-
E.
MLS CupRunnerUp
Indicates that a team finished as the second-place (losing finalist) in a given edition of the MLS Cup.
- 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_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. |
| PDg | Predicate description generation | batch_69c6d182213c819086fcbbfd3d64d80b |
completed | March 27, 2026, 6:50 p.m. |
Created at: March 27, 2026, 2:14 p.m.