Triple
T25446520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Africa under-17 national football team |
E637650
|
entity |
| Predicate | bestAfricaU17CupOfNationsResult |
P158839
|
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 Africa under-17 national football team, bestAfricaU17CupOfNationsResult, runners-up]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestAfricaU17CupOfNationsResult Context triple: [South Africa under-17 national football team, bestAfricaU17CupOfNationsResult, runners-up]
-
A.
africaU17CupOfNationsTitleYear
Indicates the year in which an entity won the Africa U-17 Cup of Nations title.
-
B.
africaU17CupOfNationsRunnersUpYear
Indicates the year in which a team finished as runners-up in the Africa U-17 Cup of Nations tournament.
-
C.
bestResultFifaU17WWC
Indicates that the object is the best performance or highest achievement an entity has attained in the FIFA U-17 Women's World Cup.
-
D.
africaU17CupOfNationsTitles
Indicates the number of Africa U-17 Cup of Nations championship titles an entity has won.
-
E.
africaU17Debut
Indicates the event or relationship where an entity makes its first appearance or participation in the Africa Under-17 (U17) competition.
- 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_69e75db7c5048190b8da9cd7eeedb610 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f70455f48190b23c09dbed884015 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 2:02 p.m.