Triple

T3955235
Position Surface form Disambiguated ID Type / Status
Subject CN-AH E84959 entity
Predicate isSubdivisionCodeOf P22016 FINISHED
Object CN 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: CN | Statement: [CN-AH, isSubdivisionCodeOf, CN]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isSubdivisionCodeOf
Context triple: [CN-AH, isSubdivisionCodeOf, CN]
  • A. hasSubdivisionCode chosen
    Indicates that an entity is associated with a specific code identifying one of its internal subdivisions (such as a state, province, or region).
  • B. representsSubdivisionOf
    Indicates that one administrative or territorial unit is a smaller, constituent part of a larger administrative or territorial unit.
  • C. hasSubdivision
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • D. hasSubdivisionStandard
    Indicates that a governing standard or specification defines how an entity is to be subdivided into smaller parts or units.
  • E. hasHigherLevelSubdivision
    Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa5afdc8190b709af2473d75d02 completed March 9, 2026, 4:51 p.m.
PD Predicate disambiguation batch_69aef8ed04e4819096bced8971cd888d completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:30 p.m.