Triple
T6749126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Assembly of Mauritius |
E154296
|
entity |
| Predicate | additionalMembersMethod |
P73283
|
FINISHED |
| Object | appointed under best loser system |
—
|
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: appointed under best loser system | Statement: [National Assembly of Mauritius, additionalMembersMethod, appointed under best loser system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: additionalMembersMethod Context triple: [National Assembly of Mauritius, additionalMembersMethod, appointed under best loser system]
-
A.
additionalMembersAllowed
Indicates that more members are permitted to be added beyond those already included or initially specified.
-
B.
hasMembers
Indicates that a group, organization, or collection includes certain entities as its members.
-
C.
hasListOfMembers
Indicates that an entity is associated with a collection containing its members or constituents.
-
D.
laterMember
Indicates that one entity became a member of a group or organization at a later time than another entity.
-
E.
primaryMembers
Indicates that the related entities are the main or most important members within a larger group or organization.
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d327e37081909d576e6eff9eec97 |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09227108190b253b91967831a85 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d3264b7481908816a4d19543fb7b |
completed | March 27, 2026, 6:57 p.m. |
Created at: March 27, 2026, 2:11 p.m.