Triple

T2056975
Position Surface form Disambiguated ID Type / Status
Subject Arizona State Legislature E45695 entity
Predicate termLimitRule P541 FINISHED
Object no more than four consecutive terms in either chamber 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: no more than four consecutive terms in either chamber | Statement: [Arizona State Legislature, termLimitRule, no more than four consecutive terms in either chamber]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: termLimitRule
Context triple: [Arizona State Legislature, termLimitRule, no more than four consecutive terms in either chamber]
  • A. termLimitDefinedBy chosen
    Indicates that the duration or number of terms for holding a position is specified or constrained by a particular rule, law, or authority.
  • B. termLengthCondition
    Indicates a condition or constraint specifying the required or allowed duration/length of a term (such as a contract, agreement, or period).
  • C. termLength
    Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
  • D. termLengthNumber
    Indicates the numerical value representing the duration or length of a specified term.
  • E. maximumNumberOfTermsForGovernor
    Indicates the highest number of terms that a governor is allowed to serve in office.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9abdb088190991a620e01dc226f completed March 7, 2026, 5:37 a.m.
PD Predicate disambiguation batch_69abb7ad5a7c8190b92575d6053b3fb7 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:40 p.m.