Triple
T12381962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abedi Pele |
E295765
|
entity |
| Predicate | AfricaCupOfNationsRunnerUp |
P87377
|
FINISHED |
| Object | 1992 |
—
|
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: 1992 | Statement: [Abedi Pele, AfricaCupOfNationsRunnerUp, 1992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AfricaCupOfNationsRunnerUp Context triple: [Abedi Pele, AfricaCupOfNationsRunnerUp, 1992]
-
A.
AfricaCupOfNationsRunnersUp
chosen
Indicates that the subject finished as the runner-up (second place) in an edition of the Africa Cup of Nations tournament.
-
B.
wonAfricaCupOfNations
Indicates that the subject has won the Africa Cup of Nations football tournament.
-
C.
africaCupOfNationsBestResult
Indicates the best performance or highest achievement a team or participant has attained in the Africa Cup of Nations tournament.
-
D.
africaCupOfNationsAppearances
Indicates the number of times an entity has participated in the Africa Cup of Nations tournament.
-
E.
africanNationsChampionshipTitle
Indicates that an entity has won the African Nations Championship football tournament title.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbb3a2481908c2fcb5e6488eb3c |
completed | April 10, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.