Triple

T19563809
Position Surface form Disambiguated ID Type / Status
Subject Union City, Georgia E489525 entity
Predicate hasLocalRegulations P16838 FINISHED
Object municipal ordinances 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: municipal ordinances | Statement: [Union City, Georgia, hasLocalRegulations, municipal ordinances]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLocalRegulations
Context triple: [Union City, Georgia, hasLocalRegulations, municipal ordinances]
  • A. hasLocalOrdinances chosen
    Indicates that a governing body or jurisdiction has established and enacted specific local ordinances or regulations.
  • B. hasRegulations
    Indicates that one entity imposes, contains, or is associated with rules or regulatory requirements that govern the behavior or operation of another entity.
  • C. appliesLocalLaw
    Indicates that a legal rule, decision, or authority is governed by and enforced under the laws of a specific local jurisdiction.
  • D. hasLocalGovernmentJurisdictionOver
    Indicates that one governmental body possesses official authority to administer, regulate, and make binding decisions over a specific geographic area or population.
  • E. regulatedIn
    Indicates that one entity’s activity, expression, or occurrence is controlled, influenced, or modulated by another entity within a specific context or system.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f75b2d481909fa3f603fe6bd5bd completed April 20, 2026, 3 p.m.
PD Predicate disambiguation batch_69e514d4df3c8190b7e9b3b4fdf9452a completed April 19, 2026, 5:45 p.m.
Created at: April 10, 2026, 1:42 p.m.