Triple

T4015318
Position Surface form Disambiguated ID Type / Status
Subject Bayerisches Viertel E90741 entity
Predicate postwarDevelopment P13560 FINISHED
Object reconstruction and modernization after World War II 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: reconstruction and modernization after World War II | Statement: [Bayerisches Viertel, postwarDevelopment, reconstruction and modernization after World War II]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: postwarDevelopment
Context triple: [Bayerisches Viertel, postwarDevelopment, reconstruction and modernization after World War II]
  • A. postwarOutcome
    Indicates the result or consequences that follow for a party or situation after a war has ended.
  • B. postwarActivity chosen
    Indicates activities, roles, or developments associated with an entity specifically in the period following a war or major conflict.
  • C. statusAfterWWII
    Indicates the condition, role, or classification an entity had following the end of World War II.
  • D. regionAfter1945
    Indicates that one region exists as the geopolitical or administrative successor of another region after the year 1945.
  • E. notableProductPostWar
    Indicates that the subject is a product that gained particular notability or significance in the post-war period.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaec08dc8190a341809059554f84 completed March 9, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69aef8fa6fec81909b1190ecbba61410 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:35 p.m.