Triple

T38405313
Position Surface form Disambiguated ID Type / Status
Subject Finschhafen, New Guinea E901010 entity
Predicate formerColonyStatus P95255 FINISHED
Object part of German New Guinea 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: part of German New Guinea | Statement: [Finschhafen, New Guinea, formerColonyStatus, part of German New Guinea]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerColonyStatus
Context triple: [Finschhafen, New Guinea, formerColonyStatus, part of German New Guinea]
  • A. formerColonialStatus
    Indicates that one entity previously held colonial authority or control over another entity, but that colonial relationship has since ended.
  • B. formerColonyName
    Indicates that one entity is the historical or previous name used for a colony that later changed its political status or designation.
  • C. preColonialStatus
    Indicates the condition, role, or social-political standing an entity held prior to the onset of colonial rule.
  • D. partOfColonialEntity chosen
    Indicates that one entity is a constituent or subordinate territorial unit within a larger colonial political or administrative entity.
  • E. preIndependenceStatus
    Indicates the status or condition of an entity during the period before it gained independence.
  • 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_69f76e6071a081909eea7a670d21420c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a0141fceb908190863778741bd4487d completed May 11, 2026, 2:42 a.m.
PD Predicate disambiguation batch_6a0141a9628c819090c0b24ce052a2fb completed May 11, 2026, 2:40 a.m.
Created at: May 3, 2026, 4:31 p.m.