Triple
T17091071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France women’s national basketball team |
E414725
|
entity |
| Predicate | isInternationalTeam |
P1499
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [France women’s national basketball team, isInternationalTeam, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInternationalTeam Context triple: [France women’s national basketball team, isInternationalTeam, true]
-
A.
includesNationalTeam
Indicates that an entity’s composition or membership list contains a specified national team.
-
B.
nationalTeamType
Indicates the specific category or level of a national team (e.g., senior, youth, futsal) with which an entity is associated.
-
C.
notableInternationalTeam
Indicates that an entity is significantly recognized or distinguished at the international level within a team context.
-
D.
isInternational
chosen
Indicates that something has a connection to, involves, or extends across more than one country.
-
E.
supportsNationalTeam
Indicates that one entity provides backing, endorsement, or assistance to a national team.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfa09b08190be4303dd0d174feb |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.