Triple

T31250967
Position Surface form Disambiguated ID Type / Status
Subject Department of Cauca E796815 entity
Predicate hasProvinceOrSubregion P98125 FINISHED
Object Pacific lowlands of Cauca NE NERFINISHED

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: Pacific lowlands of Cauca | Statement: [Department of Cauca, hasProvinceOrSubregion, Pacific lowlands of Cauca]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProvinceOrSubregion
Context triple: [Department of Cauca, hasProvinceOrSubregion, Pacific lowlands of Cauca]
  • A. hasProvinceOrRegion chosen
    Indicates that one entity includes, is associated with, or is located within a specific province or region as an administrative or geographic subdivision.
  • B. hasProvinceName
    Indicates that an entity (such as a province or region) bears or is associated with a specific province name.
  • C. hasProvinceEquivalent
    Indicates that one administrative division is equivalent in status or function to a province within a given political or territorial system.
  • D. isProvinceOf
    Indicates that one region holds the administrative status of a province within, and is governed as a subnational division of, another political entity.
  • E. hasProvinceType
    Indicates that an entity is associated with a province classified by a specific type or category.
  • 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_69f224dc84d0819081f1cb6f9127e6b1 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a005247dba08190acadf962bcefe4a0 completed May 10, 2026, 9:39 a.m.
PD Predicate disambiguation batch_6a00519029848190a234358dfba45084 completed May 10, 2026, 9:36 a.m.
Created at: April 29, 2026, 9:11 p.m.