Triple

T11775103
Position Surface form Disambiguated ID Type / Status
Subject Basic Law of 1949 E279997 entity
Predicate allocatesCompetenceBetween P39066 FINISHED
Object federal government and Länder 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: federal government and Länder | Statement: [Basic Law of 1949, allocatesCompetenceBetween, federal government and Länder]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allocatesCompetenceBetween
Context triple: [Basic Law of 1949, allocatesCompetenceBetween, federal government and Länder]
  • A. allocatesPowersBetween chosen
    Indicates the way in which authority or decision-making powers are distributed or divided among different entities.
  • B. definesCompetenceOf
    Indicates that one entity specifies, determines, or establishes the scope, level, or nature of another entity’s competence or capability.
  • C. regulatesCompetenceIn
    Indicates that one entity controls, influences, or modulates the ability or readiness of another entity to perform a specific function or process.
  • D. allocatesAccordingTo
    Indicates that one entity distributes or assigns resources, tasks, or responsibilities to others based on a specified rule, criterion, or plan.
  • E. sharesCompetencesWith
    Indicates that two entities possess and can apply the same or overlapping set of skills, abilities, or areas of expertise.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a8c2e8b08190a31b1e284fca2aee completed April 10, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69d8a242cd8c819086ed6c5f292dc8cb completed April 10, 2026, 7:09 a.m.
Created at: April 8, 2026, 9:41 p.m.