Triple
T480584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigeria national football team |
E9157
|
entity |
| Predicate | afconRunnersUp |
P2690
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [Nigeria national football team, afconRunnersUp, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afconRunnersUp Context triple: [Nigeria national football team, afconRunnersUp, 1984]
-
A.
managerOfRunnerUpTeam
Indicates that one entity serves as the manager of the team that finished in second place in a competition or ranking.
-
B.
nationalTeamAppearances
Indicates the number of official matches in which an entity has represented its national team.
-
C.
runnerUpLeague
chosen
Indicates that an entity finished in second place in a league competition.
-
D.
penaltyShootoutLoser
Indicates the team or player that loses a match as a result of a penalty shootout.
-
E.
nationalFootballTeam
Indicates that one entity is the official football (soccer) team representing the other entity at the national level.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f058ebe48190aaa0a829b21f75fa |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf1d5848190a7da27e2fddc136f |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.