Triple

T7405772
Position Surface form Disambiguated ID Type / Status
Subject MX-GRO E170864 entity
Predicate hasThreeLetterSubdivisionCode P22016 FINISHED
Object GRO 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: GRO | Statement: [MX-GRO, hasThreeLetterSubdivisionCode, GRO]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasThreeLetterSubdivisionCode
Context triple: [MX-GRO, hasThreeLetterSubdivisionCode, GRO]
  • 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. hasSubdivisionCodePart
    Indicates that an entity’s subdivision code includes or is composed of the referenced code segment or component.
  • C. associatedSubdivisionISO3166-1Alpha2
    Indicates that a subdivision (such as a state or province) is associated with a specific country identified by its ISO 3166-1 alpha-2 code.
  • D. hasHigherLevelSubdivision
    Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
  • E. hasCountrySubdivisionLevel
    Indicates the hierarchical administrative level or tier at which a given country subdivision (such as a state, province, or region) is defined within the country's overall territorial organization.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f275c6e481908b4ce9ff1e418296 completed March 27, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69c6f0323b2c819098ab72c33e6d8534 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:10 p.m.