Triple
T12990103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senegal national football team |
E321880
|
entity |
| Predicate | afconAppearances |
P86273
|
FINISHED |
| Object | more than 15 |
—
|
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: more than 15 | Statement: [Senegal national football team, afconAppearances, more than 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afconAppearances Context triple: [Senegal national football team, afconAppearances, more than 15]
-
A.
afconParticipation
Indicates that an entity took part in, qualified for, or was involved as a competitor in the Africa Cup of Nations football tournament.
-
B.
africaCupOfNationsAppearances
chosen
Indicates the number of times an entity has participated in the Africa Cup of Nations tournament.
-
C.
afconRunnersUpCount
Indicates the number of times an entity has finished as runners-up in the Africa Cup of Nations (AFCON) tournament.
-
D.
afconTitles
Indicates the number of Africa Cup of Nations (AFCON) championship titles an entity has won.
-
E.
ConfederationsCupAppearances
Indicates the number of times an entity has participated in the FIFA Confederations Cup 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_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.