Triple
T2577577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Football Association |
E57011
|
entity |
| Predicate | typeOfMembershipInFIFA |
P40367
|
FINISHED |
| Object | full member |
—
|
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: full member | Statement: [German Football Association, typeOfMembershipInFIFA, full member]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMembershipInFIFA Context triple: [German Football Association, typeOfMembershipInFIFA, full member]
-
A.
fifaAffiliationCountry
Indicates that a country is affiliated with or recognized by FIFA as a member football association.
-
B.
fifaAffiliationDate
Indicates the date on which an entity formally became affiliated with FIFA.
-
C.
FIFAWorldCupParticipation
Indicates that an entity has taken part in at least one edition of the FIFA World Cup tournament.
-
D.
numberOfFIFAConfederations
Indicates the total count of FIFA confederations associated with a given entity.
-
E.
fifaConfederation
Indicates the regional football governing confederation with which an entity (typically a national team or association) is officially affiliated.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a73a508190bf12e889a5d4bbf3 |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0cfeae08190aed03866ba071c5c |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd209d934819093600889af9104c3 |
completed | March 7, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:49 p.m.