Triple
T12587993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghana national under-17 football team |
E300517
|
entity |
| Predicate | africaU17Debut |
P105581
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [Ghana national under-17 football team, africaU17Debut, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: africaU17Debut Context triple: [Ghana national under-17 football team, africaU17Debut, 1995]
-
A.
africaU17CupOfNationsTitleYear
Indicates the year in which an entity won the Africa U-17 Cup of Nations title.
-
B.
africaU17CupOfNationsTitles
Indicates the number of Africa U-17 Cup of Nations championship titles an entity has won.
-
C.
africaU17CupOfNationsRunnersUpYear
Indicates the year in which a team finished as runners-up in the Africa U-17 Cup of Nations tournament.
-
D.
fifaU17WorldCupDebutYear
Indicates the year in which an entity (typically a national team) first participated in the FIFA U-17 World Cup tournament.
-
E.
fifaU17WorldCupAppearances
Indicates the number of times an entity has participated in the FIFA U-17 World Cup tournament.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954e351f88190869220d46e0ce282 |
completed | April 10, 2026, 7:52 p.m. |
Created at: April 9, 2026, 5:05 p.m.