Triple
T30985930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Volta national football team |
E789525
|
entity |
| Predicate | afcon1978Opponent |
P104087
|
FINISHED |
| Object | Ghana |
—
|
NE NERFINISHED |
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: Ghana | Statement: [Upper Volta national football team, afcon1978Opponent, Ghana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afcon1978Opponent Context triple: [Upper Volta national football team, afcon1978Opponent, Ghana]
-
A.
afcon1978HostCountry
Indicates that a country served as the host nation for the 1978 Africa Cup of Nations tournament.
-
B.
afconParticipation
chosen
Indicates that an entity took part in, qualified for, or was involved as a competitor in the Africa Cup of Nations football tournament.
-
C.
afconRunnerUpYear
Indicates the year in which a given team or country finished as runner-up in the Africa Cup of Nations (AFCON) tournament.
-
D.
afconQuarterFinalAppearances
Indicates the number of times an entity has reached the quarter-final stage of the Africa Cup of Nations tournament.
-
E.
afconRunnersUpCount
Indicates the number of times an entity has finished as runners-up in the Africa Cup of Nations (AFCON) tournament.
- F. None of above.
Provenance (3 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_69f224c550b081909ddfceb0c3d03bdd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 8:56 p.m.