Triple
T8815738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netherlands Antilles national football team |
E209771
|
entity |
| Predicate | fifaMembershipStatus |
P40367
|
FINISHED |
| Object | former FIFA 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: former FIFA member | Statement: [Netherlands Antilles national football team, fifaMembershipStatus, former FIFA member]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaMembershipStatus Context triple: [Netherlands Antilles national football team, fifaMembershipStatus, former FIFA member]
-
A.
fifaMembership
Indicates that an entity is a member association or organization officially affiliated with FIFA.
-
B.
typeOfMembershipInFIFA
chosen
Indicates the specific category or level of a country's affiliation or membership status within FIFA.
-
C.
footballMembership
Indicates that an entity belongs to, is part of, or holds membership in a football-related organization, team, or group.
-
D.
UEFAMembershipSince
Indicates that an entity has been a member of UEFA starting from a specified date or point in time.
-
E.
membershipStatus
Indicates the current state or level of an entity’s participation or affiliation within a group, organization, or program.
- 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ff2ff248190bafcafe8b3860e53 |
completed | March 31, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:45 p.m.