Triple

T30132615
Position Surface form Disambiguated ID Type / Status
Subject German federal election, 1919 E765885 entity
Predicate womenEligibleToStandForOffice P165446 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: [German federal election, 1919, womenEligibleToStandForOffice, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: womenEligibleToStandForOffice
Context triple: [German federal election, 1919, womenEligibleToStandForOffice, true]
  • A. womenCanStandForParliament chosen
    Indicates that women are legally permitted to be candidates for election to a parliamentary body.
  • B. womenRepresentationMechanism
    Indicates the mechanism or process through which women’s representation or participation is ensured, structured, or facilitated in a given context.
  • C. officeHoldersGenderEligibility
    Indicates the gender-based criteria that determine who is eligible to hold a particular office or position.
  • D. womenStatus
    Indicates the social, legal, economic, or cultural position or condition assigned to women within a given context or system.
  • E. suffrageIncludes
    Indicates that the scope of a group’s voting rights or electoral franchise extends to and encompasses the specified category of people or entities.
  • 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_69f22477d1a081908df2b7e6ed16859d completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67e491014819080bd41f2195f92c0 completed May 2, 2026, 10:44 p.m.
PD Predicate disambiguation batch_69f675ff62c48190a634bbb8896973b9 completed May 2, 2026, 10:09 p.m.
Created at: April 29, 2026, 7:15 p.m.