Triple

T5349335
Position Surface form Disambiguated ID Type / Status
Subject Böhmisch Aicha E124134 entity
Predicate historicalPopulationLanguage P61052 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: [Böhmisch Aicha, historicalPopulationLanguage, German-speaking population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalPopulationLanguage
Context triple: [Böhmisch Aicha, historicalPopulationLanguage, German-speaking population]
  • A. demographicsSignificantLanguage chosen
    Indicates that a particular language is significantly represented or prevalent within the demographic profile of a population or group.
  • B. religiousCompositionHistorical
    Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
  • C. hasMajorityLanguageHistorically
    Indicates that a particular language has historically been the predominant or majority language within a given entity or region.
  • D. historicalLanguageOfHierarchy
    Indicates that a language served as the traditional or historically established language used by a particular hierarchy or hierarchical institution.
  • E. historicallySpokenIn
    Indicates that a language was used for spoken communication in a particular place or region during a past historical period.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd860ea7088190ad7be14132927d17 completed March 20, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69bd845c6f108190832a8d14b356368a completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:01 p.m.