Triple

T32689634
Position Surface form Disambiguated ID Type / Status
Subject Adenauer I cabinet E835819 entity
Predicate appointerPosition P190689 FINISHED
Object President of the Federal Republic of 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: President of the Federal Republic of Germany | Statement: [Adenauer I cabinet, appointerPosition, President of the Federal Republic of Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appointerPosition
Context triple: [Adenauer I cabinet, appointerPosition, President of the Federal Republic of Germany]
  • A. appointerType
    Indicates the role or category of entity that has the authority to appoint another entity.
  • B. appointeeMustBe
    Indicates that a designated position or role requires the person appointed to satisfy a specified condition or belong to a particular category.
  • C. appointedPositionOf
    Indicates that an entity holds or has been officially assigned to a particular position, role, or office.
  • D. appointerRequirement
    Indicates that a certain condition or qualification must be met by an entity in order to be eligible to appoint another entity.
  • E. appointmentBy
    Indicates that one entity is appointed or designated to a role, position, or task by another entity.
  • 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_69f3493211388190993801216afbc2a7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fcce2cf9188190b3f65b362203a6a3 completed May 7, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69fcccee6240819084680887731ff64b completed May 7, 2026, 5:33 p.m.
PDg Predicate description generation batch_69fccdd2d84481909a7ce22407def9c7 completed May 7, 2026, 5:37 p.m.
Created at: May 1, 2026, 1:09 a.m.