Triple
T15256576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parliament of Botswana |
E364659
|
entity |
| Predicate | hasExOfficioMembersCount |
P19683
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Parliament of Botswana, hasExOfficioMembersCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExOfficioMembersCount Context triple: [Parliament of Botswana, hasExOfficioMembersCount, 2]
-
A.
numberOfExOfficioMembers
chosen
Indicates the count of individuals who hold membership in a body or group by virtue of another office or position they occupy, rather than by direct appointment or election.
-
B.
numberOfAppointedMembers
Indicates the specific count of members who have been formally appointed to a group, body, or position.
-
C.
numberOfAdditionalMembers
Indicates the count of extra members associated with an entity beyond its primary or standard membership.
-
D.
numberOfCommitteeMembers
Indicates the total count of individuals who are members of a given committee.
-
E.
includesExOfficioMember
Indicates that an entity has another entity as a member by virtue of holding a particular office or position, rather than through separate appointment or election.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084b97908190b3bf7ea7bd75bdc0 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.