Triple
T1918552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sudanese parliament |
E40073
|
entity |
| Predicate | higherVoteRequirementFor |
P3460
|
FINISHED |
| Object | constitutional amendments |
—
|
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: constitutional amendments | Statement: [Sudanese parliament, higherVoteRequirementFor, constitutional amendments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: higherVoteRequirementFor Context triple: [Sudanese parliament, higherVoteRequirementFor, constitutional amendments]
-
A.
voteRequirement
chosen
Indicates the minimum level or type of vote needed for a decision, action, or status to be valid or approved.
-
B.
increasedNumberOfElectors
Indicates that the number of electors associated with an entity has grown compared to a previous state or reference point.
-
C.
requiredRatificationOf
Indicates that one entity’s decision, agreement, or action must be formally approved or confirmed by another specified entity in order to take effect.
-
D.
electoralThreshold
Indicates the minimum share of votes a party or candidate must receive to gain representation or seats in an election.
-
E.
voteFor
Indicates that one entity casts or expresses a vote in favor of another entity or option.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb211eda88190865de7a0522a453d |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafed2ab481908920334e77b1021b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.