Triple
T12990106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senegal national football team |
E321880
|
entity |
| Predicate | afconBestResult |
P86274
|
FINISHED |
| Object | champions |
—
|
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: champions | Statement: [Senegal national football team, afconBestResult, champions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afconBestResult Context triple: [Senegal national football team, afconBestResult, champions]
-
A.
afconTitles
Indicates the number of Africa Cup of Nations (AFCON) championship titles an entity has won.
-
B.
afconParticipation
Indicates that an entity took part in, qualified for, or was involved as a competitor in the Africa Cup of Nations football tournament.
-
C.
africaCupOfNationsBestResult
chosen
Indicates the best performance or highest achievement a team or participant has attained in the Africa Cup of Nations tournament.
-
D.
afconRunnerUpYear
Indicates the year in which a given team or country finished as runner-up in the Africa Cup of Nations (AFCON) tournament.
-
E.
bestConfederationsCupResult
Indicates the highest achievement or best performance an entity has attained in the FIFA Confederations Cup competition.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:43 p.m.