Triple
T36482330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior All Whites |
E898847
|
entity |
| Predicate | OFC_U20_ChampionshipTitleYear |
P185761
|
FINISHED |
| Object | 1980 |
—
|
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: 1980 | Statement: [Junior All Whites, OFC_U20_ChampionshipTitleYear, 1980]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OFC_U20_ChampionshipTitleYear Context triple: [Junior All Whites, OFC_U20_ChampionshipTitleYear, 1980]
-
A.
OFC_U20_ChampionshipTitles
Indicates the number of OFC Under-20 Championship titles that an entity has won.
-
B.
fifaU20WorldCupTitleYear
Indicates the year in which an entity won the FIFA U-20 World Cup title.
-
C.
fifaU20WWC_titleYear
Indicates the specific year in which a team or entity won the FIFA U-20 Women's World Cup title.
-
D.
fifaU20WWC_titles
Indicates the number of FIFA U-20 Women's World Cup titles an entity has won.
-
E.
fifaU20WorldCupRunnersUpYear
Indicates the year in which a given team finished as runners-up in the FIFA U-20 World 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:10 p.m.