Triple

T10150285
Position Surface form Disambiguated ID Type / Status
Subject Flandes E232615 entity
Predicate belongsToDepartmentCapitalCityRegion P78503 FINISHED
Object Ibagué Departmental jurisdiction 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: Ibagué Departmental jurisdiction | Statement: [Flandes, belongsToDepartmentCapitalCityRegion, Ibagué Departmental jurisdiction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToDepartmentCapitalCityRegion
Context triple: [Flandes, belongsToDepartmentCapitalCityRegion, Ibagué Departmental jurisdiction]
  • A. belongsToDepartmentCapitalRegion chosen
    Indicates that an entity is part of, or administratively assigned to, the capital region of a department.
  • B. hasDepartmentCapital
    Indicates that a department has a specific city designated as its capital.
  • C. capitalOfDepartment
    Indicates that a city or town serves as the administrative capital of a specified department (an administrative division).
  • D. hasCapitalCityOfContainingUnit
    Indicates that a capital city belongs to and is located within a particular larger administrative or territorial unit.
  • E. capitalOfReferencedRegion
    Indicates that one entity serves as the capital city or administrative center of the region referenced by another entity.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec03e80c81909c813dae91c56272 completed April 2, 2026, 4:09 a.m.
PD Predicate disambiguation batch_69cd4ba4f5d88190ba68e63be10b08c7 completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:08 p.m.