Triple
T7796531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AU Assembly |
E180311
|
entity |
| Predicate | quorum |
P11041
|
FINISHED |
| Object | Two-thirds of the total membership |
—
|
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: Two-thirds of the total membership | Statement: [AU Assembly, quorum, Two-thirds of the total membership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quorum Context triple: [AU Assembly, quorum, Two-thirds of the total membership]
-
A.
quorumDefinedBy
Indicates that the rules or criteria for achieving a quorum are specified or determined by a particular source or authority.
-
B.
requiresMajority
Indicates that the action or decision is contingent on receiving approval from more than half of the relevant group or participants.
-
C.
voteRequirement
Indicates the minimum level or type of vote needed for a decision, action, or status to be valid or approved.
-
D.
hasQuorum
chosen
Indicates that the number of required participants or members is sufficient to validly conduct the specified activity or decision.
-
E.
doubleMajority
Indicates that a decision or approval requires two separate majority thresholds to be met simultaneously (for example, a majority of individuals and a majority of groups or states).
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:32 p.m.