Triple

T1899590
Position Surface form Disambiguated ID Type / Status
Subject Günter Schabowski E37660 entity
Predicate laterLifeEvent P32941 FINISHED
Object expressed regret for GDR border regime 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: expressed regret for GDR border regime | Statement: [Günter Schabowski, laterLifeEvent, expressed regret for GDR border regime]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterLifeEvent
Context triple: [Günter Schabowski, laterLifeEvent, expressed regret for GDR border regime]
  • A. lifeStatus
    Indicates the current state of an entity’s existence, such as whether it is alive, dead, or in another defined life condition.
  • B. laterLivedIn
    Indicates that one entity resided in a particular place during a later period of its life, after an earlier residence elsewhere.
  • C. lifeStage
    Indicates the specific phase or period in an entity’s development or lifecycle that it is currently in.
  • D. legacyPlanning
    Indicates the process of arranging how assets, responsibilities, and wishes will be managed and transferred to others in the future, typically after one’s death.
  • E. spentMostOfLifeIn
    Indicates that an entity resided or was primarily based in a particular place for the majority of its lifetime.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb17181b0819090683c55fd1352cb completed March 7, 2026, 5:02 a.m.
PD Predicate disambiguation batch_69abafe7e7e88190b58c0df59187c0c2 completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb09b27e88190bff164040fef6d7e completed March 7, 2026, 4:59 a.m.
Created at: March 4, 2026, 7:35 p.m.