Triple

T4708470
Position Surface form Disambiguated ID Type / Status
Subject German-speaking Lorraine E104449 entity
Predicate historicalMinority P59102 FINISHED
Object German-speaking population 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-speaking population | Statement: [German-speaking Lorraine, historicalMinority, German-speaking population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalMinority
Context triple: [German-speaking Lorraine, historicalMinority, German-speaking population]
  • A. historicalDiversity
    Indicates that there has been variation or change in the composition, characteristics, or representation of something across different historical periods.
  • B. ethnicHistory
    Indicates a relationship where one entity documents, describes, or is associated with the historical development, experiences, or heritage of an ethnic group.
  • C. minorityMajority
    Indicates that one group constitutes a numerical or power minority within a context while another group constitutes the corresponding majority.
  • D. notableMinorityIn
    Indicates that an entity is a prominent or significant member of a minority group within a specified larger group, place, or context.
  • E. historicalCategory
    Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or context.
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd680beb508190b3d74e20e1c64405 completed March 20, 2026, 3:30 p.m.
PD Predicate disambiguation batch_69bd621ddcd88190903288566f5e5dab completed March 20, 2026, 3:05 p.m.
PDg Predicate description generation batch_69bd680b06e881908de87edf815f3cc0 completed March 20, 2026, 3:30 p.m.
Created at: March 20, 2026, 1:17 p.m.