Triple

T26453028
Position Surface form Disambiguated ID Type / Status
Subject Voßstraße E665404 entity
Predicate postWarHistory P160765 FINISHED
Object area partly cleared and rebuilt in the postwar period 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: area partly cleared and rebuilt in the postwar period | Statement: [Voßstraße, postWarHistory, area partly cleared and rebuilt in the postwar period]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: postWarHistory
Context triple: [Voßstraße, postWarHistory, area partly cleared and rebuilt in the postwar period]
  • A. postwarOutcome
    Indicates the result or consequences that follow for a party or situation after a war has ended.
  • B. statusAfterWWII
    Indicates the condition, role, or classification an entity had following the end of World War II.
  • C. postWarOrder
    Indicates the arrangement of political, economic, and social relations established among actors after a war has ended.
  • D. regionAfter1945
    Indicates that one region exists as the geopolitical or administrative successor of another region after the year 1945.
  • E. worldWar
    Indicates a large-scale armed conflict involving multiple nations across different regions of the world, typically encompassing numerous battles, alliances, and theaters of war.
  • F. None of above. chosen

Provenance (4 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_69ee883d5040819097dd154643005230 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f61266f0e88190aea95f89ba2bef5c completed May 2, 2026, 3:04 p.m.
PD Predicate disambiguation batch_69f602d5c8808190a1fdbebd6f0981e8 completed May 2, 2026, 1:57 p.m.
PDg Predicate description generation batch_69f604120e848190b516c29b781d19cc completed May 2, 2026, 2:02 p.m.
Created at: April 27, 2026, 12:07 a.m.