Triple
T34987553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaze Odemwingie |
E1008992
|
entity |
| Predicate | WorldCupTeam |
P125850
|
FINISHED |
| Object | Nigeria national football team |
—
|
NE NERFINISHED |
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: Nigeria national football team | Statement: [Osaze Odemwingie, WorldCupTeam, Nigeria national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldCupTeam Context triple: [Osaze Odemwingie, WorldCupTeam, Nigeria national football team]
-
A.
isWorldCupTeam
chosen
Indicates that an entity is a national team that participates in the FIFA World Cup tournament.
-
B.
worldCupContender
Indicates that an entity (typically a national team) is considered a serious candidate to compete for and potentially win the FIFA World Cup.
-
C.
nationalTeamFor
Indicates that one entity serves as the national team representing another entity, typically a country or nation, in a given sport or activity.
-
D.
nationalFootballTeam
Indicates that one entity is the official football (soccer) team representing the other entity at the national level.
-
E.
nationalTeamSport
Indicates that a particular sport is officially designated as the national team sport of a given country or 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe78e545888190a239af1a84280fa0 |
completed | May 8, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69fe7842742081908043eb950ed69f92 |
completed | May 8, 2026, 11:56 p.m. |
Created at: May 3, 2026, 4:01 p.m.