Triple

T3938768
Position Surface form Disambiguated ID Type / Status
Subject America/Managua E90980 entity
Predicate primarySubdivision P766 FINISHED
Object Departamento de Managua 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: Departamento de Managua | Statement: [America/Managua, primarySubdivision, Departamento de Managua]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primarySubdivision
Context triple: [America/Managua, primarySubdivision, Departamento de Managua]
  • A. formerSubdivisionOf
    Indicates that an entity once functioned as an administrative or territorial part of another entity but no longer holds that status.
  • B. highestLevelSubdivision
    Indicates that one administrative or territorial unit is the topmost (largest or most authoritative) subdivision within a given political or geographic hierarchy.
  • C. countrySubdivision chosen
    Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
  • D. hasSubdivision
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • E. governingSubdivision
    Indicates that one administrative or political unit serves as the governing authority over a smaller, subordinate territorial 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedfb12b88190a6ca6574b1aadb6e completed March 9, 2026, 3:57 p.m.
PD Predicate disambiguation batch_69aee7625ad4819097e4e8a168c19274 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:24 p.m.