Triple
T23471056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Organisation internationale de la Francophonie |
E570127
|
entity |
| Predicate | associateMemberCount |
P12132
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Organisation internationale de la Francophonie, associateMemberCount, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associateMemberCount Context triple: [Organisation internationale de la Francophonie, associateMemberCount, 7]
-
A.
memberAssociationCount
Indicates the number of associations or group memberships linked to a given member.
-
B.
numberOfAssociateMembers
chosen
Indicates the total count of associate members linked to a given entity.
-
C.
numberOfAdditionalMembers
Indicates the count of extra members associated with an entity beyond its primary or standard membership.
-
D.
hasAssociateMember
Indicates that an entity has another entity connected to it in a non-full, typically limited or secondary, membership capacity.
-
E.
additionalMembersAllowed
Indicates that more members are permitted to be added beyond those already included or initially specified.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6ff8dc0819086961b1f07030d9c |
completed | April 29, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:55 p.m.