Triple
T29234853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uganda national football team |
E741165
|
entity |
| Predicate | bestRegionalTournamentResult |
P25989
|
FINISHED |
| Object | Africa Cup of Nations runner-up 1978 |
—
|
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: Africa Cup of Nations runner-up 1978 | Statement: [Uganda national football team, bestRegionalTournamentResult, Africa Cup of Nations runner-up 1978]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestRegionalTournamentResult Context triple: [Uganda national football team, bestRegionalTournamentResult, Africa Cup of Nations runner-up 1978]
-
A.
bestRegionalResult
chosen
Indicates that the associated result is the highest or most favorable outcome achieved within a specific geographic region or regional grouping.
-
B.
regionWinner
Indicates that an entity is the winner of a specified region in a competition, contest, or selection process.
-
C.
WorldChampionshipBestResult
Indicates the best performance or highest placement an entity has ever achieved in a world championship competition.
-
D.
wonTournament
Indicates that an entity emerged as the overall victor in a tournament competition.
-
E.
bestRegionalResultYear
Indicates the year in which an entity achieved its best performance or highest result within a specific region.
- 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6646309648190806dece783dd9e55 |
completed | May 2, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 12:28 p.m.