Triple

T10799845
Position Surface form Disambiguated ID Type / Status
Subject Government of Illinois E254808 entity
Predicate hasSubnationalDivision P747 FINISHED
Object counties of Illinois 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: counties of Illinois | Statement: [Government of Illinois, hasSubnationalDivision, counties of Illinois]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubnationalDivision
Context triple: [Government of Illinois, hasSubnationalDivision, counties of Illinois]
  • A. hasSubdivision chosen
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • B. hasSubnationalCounterpart
    Indicates that an entity has a corresponding or equivalent entity at a lower (subnational) administrative level.
  • C. hasHigherLevelSubdivision
    Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
  • D. betweenSubnationalUnits
    Indicates a relationship that occurs or holds between two or more subnational administrative units (such as states, provinces, or regions) within a country.
  • E. hasSubnationalEntitySeparated
    Indicates that a subnational entity has been separated or split off from its original parent 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733366c408190bfd3b57be5ef2440 completed April 9, 2026, 5:03 a.m.
PD Predicate disambiguation batch_69d6f3188f00819094ee8d65b187a333 completed April 9, 2026, 12:30 a.m.
Created at: April 8, 2026, 9:18 p.m.