Triple
T13474909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | States of Deliberation |
E318224
|
entity |
| Predicate | hasNonVotingMembersCount |
P4389
|
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: [States of Deliberation, hasNonVotingMembersCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNonVotingMembersCount Context triple: [States of Deliberation, hasNonVotingMembersCount, 2]
-
A.
hasNonvotingMember
Indicates that an entity is associated with a member who participates in some capacity but does not possess formal voting rights in the relevant decision-making process.
-
B.
hasNumberOfVotingMembers
Indicates the specific count of individuals who hold voting rights within a given group or body.
-
C.
hasVotingMembers
Indicates that certain entities are recognized as having individuals or units with the authority to vote within a group, body, or decision-making process.
-
D.
nonVotingDelegatesCount
chosen
Indicates the number of delegates associated with an entity who do not possess voting rights in a given decision-making process.
-
E.
numberOfAppointedMembers
Indicates the specific count of members who have been formally appointed to a group, body, 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2447bc81908baf1f4b55095144 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.