Triple
T378238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Assembly of Zimbabwe |
E8617
|
entity |
| Predicate | hasWomenQuotaSeats |
P277
|
FINISHED |
| Object | 60 |
—
|
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: 60 | Statement: [National Assembly of Zimbabwe, hasWomenQuotaSeats, 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWomenQuotaSeats Context triple: [National Assembly of Zimbabwe, hasWomenQuotaSeats, 60]
-
A.
hasElectoralRepresentation
Indicates that one entity is represented in an electoral body or decision-making institution by another entity (such as a representative, party, or delegation).
-
B.
hasMinorityPartyMembers
Indicates that the subject includes or is associated with members belonging to a minority political party.
-
C.
hasRepresentativeBody
Indicates that an entity is associated with or governed by a specific representative body that acts or decides on its behalf.
-
D.
hasGenderPolicy
chosen
Indicates that an entity has adopted, implemented, or is governed by a specific policy related to gender issues or gender equality.
-
E.
isFirstFemaleHolderOfOffice
Indicates that a person is the first woman ever to hold a particular office or position.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2974988190a1d6316cbb5159c8 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e96351cc8190a55adf95f8c27e9e |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.