Triple
T2578189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acerbo Law |
E57025
|
entity |
| Predicate | voteThreshold |
P3460
|
FINISHED |
| Object | 25 percent of valid national votes |
—
|
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: 25 percent of valid national votes | Statement: [Acerbo Law, voteThreshold, 25 percent of valid national votes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voteThreshold Context triple: [Acerbo Law, voteThreshold, 25 percent of valid national votes]
-
A.
voteRequirement
chosen
Indicates the minimum level or type of vote needed for a decision, action, or status to be valid or approved.
-
B.
electoralThreshold
Indicates the minimum share of votes a party or candidate must receive to gain representation or seats in an election.
-
C.
commitmentThreshold
Indicates the minimum level or degree of commitment required before a particular action, status, or relationship is established or recognized.
-
D.
approvalVoteMargin
Indicates the numerical difference between the number of approval votes received and a comparison threshold or opposing votes in a decision or election.
-
E.
treatyRatificationThreshold
Indicates the minimum level of approval or support required for a treaty to be formally ratified or come into legal effect.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a86f9881908df29a7caaf9a7df |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0cfeae08190aed03866ba071c5c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.