Triple
T23471055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Organisation internationale de la Francophonie |
E570127
|
entity |
| Predicate | fullMemberCount |
P21309
|
FINISHED |
| Object | 54 |
—
|
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: 54 | Statement: [Organisation internationale de la Francophonie, fullMemberCount, 54]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fullMemberCount Context triple: [Organisation internationale de la Francophonie, fullMemberCount, 54]
-
A.
numberOfFullMembers
chosen
Indicates the total count of entities that hold full membership status within a specified group or organization.
-
B.
memberAssociationCount
Indicates the number of associations or group memberships linked to a given member.
-
C.
traditionalNumberOfMembers
Indicates the customary or historically typical number of members associated with an entity or group.
-
D.
originalNumberOfMembers
Indicates the initial total count of members in a group or organization before any changes such as additions or removals.
-
E.
numberOfMembersDeterminedBy
Indicates that the quantity of members in one entity is defined or constrained by another entity or factor.
- 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.