Triple

T18536150
Position Surface form Disambiguated ID Type / Status
Subject First Lady of Germany E452970 entity
Predicate hasNoFormalConstitutionalStatus P132045 FINISHED
Object true 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: true | Statement: [First Lady of Germany, hasNoFormalConstitutionalStatus, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNoFormalConstitutionalStatus
Context triple: [First Lady of Germany, hasNoFormalConstitutionalStatus, true]
  • A. hasConstitutionalStatus
    Indicates that an entity possesses a particular status, role, or recognition as defined or protected by a constitution or constitutional framework.
  • B. hasUNStatus
    Indicates that an entity holds a particular formal status or recognition within the United Nations system.
  • C. hasConstitutionalNature
    Indicates that something possesses a fundamental, constitutional character or pertains to the essential legal or structural framework of a system or entity.
  • D. sovereigntyStatus
    Indicates the degree and type of political independence or control an entity holds over its own territory and governance.
  • E. constitutionStatus
    Indicates the legal or formal status of an entity as defined or recognized by a constitution.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5340193588190ace2c09c6a94cf81 completed April 19, 2026, 7:58 p.m.
PD Predicate disambiguation batch_69e469e0025c81908f16ed4f922674af completed April 19, 2026, 5:36 a.m.
PDg Predicate description generation batch_69e46d2b93bc8190a6070018d7046547 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 11:37 a.m.