Triple

T1414166
Position Surface form Disambiguated ID Type / Status
Subject Peter Faber E31873 entity
Predicate missionaryWorkIn P20194 FINISHED
Object Germany E1728 NE FINISHED

How this triple was built (3 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: Germany | Statement: [Peter Faber, missionaryWorkIn, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germany
Context triple: [Peter Faber, missionaryWorkIn, Germany]
  • A. Germany chosen
    Germany is a major Central European country known for its pivotal role in 20th-century history, its strong industrial economy, and its influential contributions to science, philosophy, music, and engineering.
  • B. West Germany
    West Germany was the democratic, capitalist western portion of Germany during the Cold War, which became an economic powerhouse and key NATO member after World War II.
  • C. Germany and Austria
    Germany and Austria are neighboring Central European countries that share historical, cultural, and linguistic ties, including a common use of the German language.
  • D. Germania
    Germania was the ancient Roman term for the vast region of central Europe inhabited by various Germanic tribes beyond the empire’s northeastern frontiers.
  • E. Bavaria
    Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: missionaryWorkIn
Context triple: [Peter Faber, missionaryWorkIn, Germany]
  • A. missionizationAt
    Indicates the location or context in which a missionizing or religious conversion effort takes place.
  • B. missionaryRegion chosen
    Indicates that an entity carries out or is associated with missionary activities within a specified geographic region.
  • C. apostolate
    Indicates the relationship in which an individual or group carries out a mission of religious or spiritual outreach, service, or evangelization on behalf of a faith community.
  • D. hasPastoralMission
    Indicates that an entity is responsible for providing spiritual care, guidance, or religious leadership to a community or group.
  • E. religiousActivity
    Indicates participation in, performance of, or association with practices, rituals, or behaviors related to a religion or faith tradition.
  • F. None of above.

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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3e5f9d08190861206934cd71fd8 completed March 1, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad3ff181e88190a8231b79817dae9c completed March 8, 2026, 9:22 a.m.
PD Predicate disambiguation batch_69a4bf060b0081909ba00e6ac093a28b completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:59 p.m.