Triple

T21584483
Position Surface form Disambiguated ID Type / Status
Subject Akron municipal elections E532612 entity
Predicate hasPoliticalSubdivisions P747 FINISHED
Object wards of Akron 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: wards of Akron | Statement: [Akron municipal elections, hasPoliticalSubdivisions, wards of Akron]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPoliticalSubdivisions
Context triple: [Akron municipal elections, hasPoliticalSubdivisions, wards of Akron]
  • A. hasNationalSubdivisionType
    Indicates that an entity is associated with a specific type or category of national-level administrative subdivision (e.g., state, province, region).
  • B. hasSubdivision chosen
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • C. hasHigherLevelSubdivision
    Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
  • D. isSubnationalDivisionOf
    Indicates that one entity is an administrative or territorial subdivision that is officially part of, and governed within the jurisdiction of, another larger political entity.
  • E. hasStateSubdivisionName
    Indicates that an entity has a specific name for one of its internal state-level subdivisions.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5f2cc0819095552de70eb2ad8d completed April 27, 2026, 4:51 a.m.
PD Predicate disambiguation batch_69e632109d048190b4ac3f14fe48d1a0 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:31 p.m.