Triple

T3506124
Position Surface form Disambiguated ID Type / Status
Subject BR E74078 entity
Predicate hasInternalBody P48381 FINISHED
Object presidency of the Bundesrat 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: presidency of the Bundesrat | Statement: [BR, hasInternalBody, presidency of the Bundesrat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInternalBody
Context triple: [BR, hasInternalBody, presidency of the Bundesrat]
  • A. hasBodyOf
    Indicates that one entity possesses, contains, or is composed of the physical body or main substance of another entity.
  • B. hasSourceBody
    Indicates that something originates from, is derived from, or is produced by a specified source entity or body.
  • C. hasPolicyBody
    Indicates that an entity is associated with, or defined by, a specific policy document or policy text.
  • D. hasBodyName
    Indicates that an entity has a specific name assigned to its physical body.
  • E. hasMemberBody
    Indicates that an entity is a constituent body, component, or organizational unit that belongs to and forms part of 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf38e988190998d722b95830411 completed March 8, 2026, 6:12 p.m.
PD Predicate disambiguation batch_69adae0e770481908528fa35eda53003 completed March 8, 2026, 5:12 p.m.
PDg Predicate description generation batch_69adaed74ecc8190b74dc70ab59a3e1c completed March 8, 2026, 5:16 p.m.
Created at: March 8, 2026, 3:18 p.m.