Triple
T10492656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigeria women’s national basketball team |
E247455
|
entity |
| Predicate | afroBasketTitles |
P94458
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Nigeria women’s national basketball team, afroBasketTitles, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afroBasketTitles Context triple: [Nigeria women’s national basketball team, afroBasketTitles, 6]
-
A.
euroBasketTitles
Indicates the number of EuroBasket championship titles an entity (typically a national basketball team) has won.
-
B.
fibaWorldCupTitles
Indicates the number of FIBA Basketball World Cup championships an entity has won.
-
C.
EuroBasketMedal
Indicates that a team or player has won a medal (gold, silver, or bronze) in a EuroBasket basketball championship.
-
D.
FIBAWorldChampionshipMedals
Indicates the relationship of an entity having won or been awarded medals in the FIBA World Championship basketball tournament.
-
E.
FIBAWorldChampionshipGoldMedal
Indicates that an entity has won a gold medal at the FIBA Basketball World Championship.
- F. None of above. chosen
Provenance (4 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097ecbec8190807c4fcc85662026 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe46a6448190b061bc3545835cad |
completed | April 7, 2026, 12:53 p.m. |
Created at: April 6, 2026, 12:24 p.m.