Triple
T35031699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France men's national under-20 basketball team |
E1010800
|
entity |
| Predicate | fibaMembershipOfCountry |
P110118
|
FINISHED |
| Object | FIBA |
—
|
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: FIBA | Statement: [France men's national under-20 basketball team, fibaMembershipOfCountry, FIBA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fibaMembershipOfCountry Context triple: [France men's national under-20 basketball team, fibaMembershipOfCountry, FIBA]
-
A.
fibaCode
Indicates that an entity is associated with a specific FIBA (International Basketball Federation) code used to identify countries or teams in FIBA competitions.
-
B.
FIBAcompetitionParticipation
Indicates that an entity takes part as a competitor in a basketball competition organized under FIBA.
-
C.
FIBAEligibility
Indicates that an entity meets the eligibility requirements set by FIBA to participate in its sanctioned basketball competitions or activities.
-
D.
isEuroBasketTeam
Indicates that a team participates in the EuroBasket basketball championship competition.
-
E.
FIBAMembershipCountry
chosen
Indicates that a country is a member of the International Basketball Federation (FIBA).
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7858aa5508190a07dde993b3356fc |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.