Triple

T419012
Position Surface form Disambiguated ID Type / Status
Subject Chancellor of Germany E8058 entity
Predicate isMostPowerfulOfficeIn P1816 FINISHED
Object German political system 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: German political system | Statement: [Chancellor of Germany, isMostPowerfulOfficeIn, German political system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isMostPowerfulOfficeIn
Context triple: [Chancellor of Germany, isMostPowerfulOfficeIn, German political system]
  • A. hasSupremeOffice chosen
    Indicates that an entity holds or occupies the highest-ranking official position within a given organization, institution, or jurisdiction.
  • B. hasOffice
    Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
  • C. isHeadOf
    Indicates that one entity holds the leading or principal authority position over another entity, such as an organization, group, or department.
  • D. majorPowerIn
    Indicates that an entity holds significant political, economic, or military influence within a specified domain, region, or context.
  • E. seatOfGovernment
    Indicates that a location serves as the administrative center where a government exercises its official authority and conducts its primary governing functions.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eebde1d881908fb212bfba9d7c67 completed Feb. 28, 2026, 1:33 p.m.
PD Predicate disambiguation batch_69a2edd1ca148190a66bd8c5aad867d5 completed Feb. 28, 2026, 1:29 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.