Triple

T34943502
Position Surface form Disambiguated ID Type / Status
Subject Magenta E1007790 entity
Predicate hasFormerColonialPowerOfCountry P3075 FINISHED
Object Netherlands 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: Netherlands | Statement: [Magenta, hasFormerColonialPowerOfCountry, Netherlands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFormerColonialPowerOfCountry
Context triple: [Magenta, hasFormerColonialPowerOfCountry, Netherlands]
  • A. wasColonialPower chosen
    Indicates that one entity historically exercised colonial control or dominance over another entity.
  • B. hasColonialHistoryWith
    Indicates that one entity has a historical relationship of colonization or being colonized involving the other entity.
  • C. associatedWithSuccessorColonialPower
    Indicates a relationship where an entity is linked or connected to a later colonial authority that succeeded a previous colonial power.
  • D. partOfColonialEntity
    Indicates that one entity is a constituent or subordinate territorial unit within a larger colonial political or administrative entity.
  • E. usedByColonialPower
    Indicates that something is employed or exploited as a tool, resource, or mechanism by a colonial power in the context of domination or control.
  • 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_69f76dc513fc819084a1ff52abbfa5bc completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fe1fd637c08190aa95cd2478c278cb completed May 8, 2026, 5:39 p.m.
PD Predicate disambiguation batch_69fe19344bb481909b5e2144155e4add completed May 8, 2026, 5:11 p.m.
Created at: May 3, 2026, 4 p.m.