Triple

T24739719
Position Surface form Disambiguated ID Type / Status
Subject Tonoas Island E618518 entity
Predicate wasPreviouslyColonizedBy P160 FINISHED
Object Germany 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: Germany | Statement: [Tonoas Island, wasPreviouslyColonizedBy, Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasPreviouslyColonizedBy
Context triple: [Tonoas Island, wasPreviouslyColonizedBy, Germany]
  • A. wasLaterColonizedBy
    Indicates that one entity became a colony of another entity at a later point in time than some referenced event or colonization.
  • B. wasColonyOf chosen
    Indicates that one entity functioned as a colony under the political control or administration of another entity.
  • C. endedAsColony
    Indicates that an entity ultimately ceased to exist as an independent polity and finished its historical trajectory under colonial rule by another power.
  • D. hadColonyOn
    Indicates that one entity established or possessed a colony located on another entity (typically a territory, planet, or celestial body).
  • E. usedToBeHomelandOf
    Indicates that a place previously served as the homeland or native territory of a particular group or entity, but no longer does so.
  • 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_69e2fab8f95c81908bb9e552cf3280c2 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f410a25ab88190a72db43043c1f6ff completed May 1, 2026, 2:32 a.m.
PD Predicate disambiguation batch_69f40ef612c88190ab2f3f08d4a92018 completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 4:04 a.m.