Triple
T22989979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Korea national under-20 football team |
E572018
|
entity |
| Predicate | fifaU20WorldCupBestResult |
P150540
|
FINISHED |
| Object | runners-up |
—
|
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: runners-up | Statement: [South Korea national under-20 football team, fifaU20WorldCupBestResult, runners-up]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaU20WorldCupBestResult Context triple: [South Korea national under-20 football team, fifaU20WorldCupBestResult, runners-up]
-
A.
fifaU20WWC_bestResult
Indicates the best performance or highest stage a team has achieved in the FIFA U-20 Women's World Cup tournament.
-
B.
fifaU17WorldCupBestResult
Indicates the best performance or highest finishing position a team has achieved in the FIFA U-17 World Cup tournament.
-
C.
bestResultFIFA U-20 World CupYear
Indicates the best performance or final standing an entity achieved in a given year’s FIFA U-20 World Cup.
-
D.
fifaU20WorldCupAppearances
Indicates the number of times an entity has participated in the FIFA U-20 World Cup tournament.
-
E.
fifaU20WWC_titles
Indicates the number of FIFA U-20 Women's World Cup titles an entity has won.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182ee3afc819099fbc6bef0b83bd5 |
completed | April 29, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:49 p.m.