Triple

T434323
Position Surface form Disambiguated ID Type / Status
Subject Constitution of Florida E9778 entity
Predicate voterApprovalThreshold P3460 FINISHED
Object 60 percent 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 percent | Statement: [Constitution of Florida, voterApprovalThreshold, 60 percent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: voterApprovalThreshold
Context triple: [Constitution of Florida, voterApprovalThreshold, 60 percent]
  • A. commitmentThreshold
    Indicates the minimum level or degree of commitment required before a particular action, status, or relationship is established or recognized.
  • B. voteRequirement chosen
    Indicates the minimum level or type of vote needed for a decision, action, or status to be valid or approved.
  • C. treatyRatificationThreshold
    Indicates the minimum level of approval or support required for a treaty to be formally ratified or come into legal effect.
  • D. voterTurnoutPercentage
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • E. 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.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ef0a008c8190ae0aa25e4df9c35f completed Feb. 28, 2026, 1:35 p.m.
PD Predicate disambiguation batch_69a2edda55e88190b7c17ba94d7df1ce completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.