Triple

T27720728
Position Surface form Disambiguated ID Type / Status
Subject Village of Sand Lake E698945 entity
Predicate stateLegalSystem P605 FINISHED
Object Michigan law NE NERFINISHED

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: Michigan law | Statement: [Village of Sand Lake, stateLegalSystem, Michigan law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stateLegalSystem
Context triple: [Village of Sand Lake, stateLegalSystem, Michigan law]
  • A. countryOfLegalSystem
    Indicates the relationship between a legal system and the country in which that legal system is officially established or applied.
  • B. legalSystem chosen
    Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
  • C. legalSystemRegion
    Indicates the geographic or jurisdictional region within which a particular legal system is applicable or in force.
  • D. stateOfLaw
    Indicates that a specified legal condition, rule, or status is currently in force or applicable within a given jurisdiction or context.
  • E. stateLawOf
    Indicates that one entity is a law or legal provision that is in force within, or specifically governs, a particular state or subnational jurisdiction.
  • 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_69ef591012dc8190a6f1ec994f9f7ff7 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f757898fe48190b124dc7301672623 completed May 3, 2026, 2:11 p.m.
PD Predicate disambiguation batch_69f754c484348190948d2a04ff228fb1 completed May 3, 2026, 1:59 p.m.
Created at: April 27, 2026, 3:06 p.m.