Triple

T2506980
Position Surface form Disambiguated ID Type / Status
Subject Standard of the Chancellor of Germany E52606 entity
Predicate representsRole P11687 FINISHED
Object head of government of Germany 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: head of government of Germany | Statement: [Standard of the Chancellor of Germany, representsRole, head of government of Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representsRole
Context triple: [Standard of the Chancellor of Germany, representsRole, head of government of Germany]
  • A. servesRole chosen
    Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
  • B. refersToRole
    Indicates that one entity designates, mentions, or points to another entity specifically in its capacity as a role or position.
  • C. possibleRole
    Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
  • D. representsMember
    Indicates that one entity is a member or constituent part of another entity, such as an individual belonging to a group or organization.
  • E. definesRole
    Indicates that one entity specifies or establishes the role, function, or position of another entity within a given context.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd65d6a988190aaaac8e98540a14f completed March 7, 2026, 7:40 a.m.
PD Predicate disambiguation batch_69abd0bd996c8190ba8b9d6e4333b8d4 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:46 p.m.