Triple

T4730683
Position Surface form Disambiguated ID Type / Status
Subject Germantown, Pennsylvania E104997 entity
Predicate historicalLanguageCommunity P29176 FINISHED
Object German-speaking settlers 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 settlers | Statement: [Germantown, Pennsylvania, historicalLanguageCommunity, German-speaking settlers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalLanguageCommunity
Context triple: [Germantown, Pennsylvania, historicalLanguageCommunity, German-speaking settlers]
  • A. historicalLanguage
    Indicates that one language is a historical or earlier form/ancestor of another language.
  • B. historicalLanguageCenter
    Indicates that a location has served as a significant hub or focal point for the development, use, or study of a particular language in the past.
  • C. historicalLanguageGroup
    Indicates that two or more entities belong to the same historically defined language group or family, based on shared linguistic ancestry or development.
  • D. heritageLanguage
    Indicates that one entity is the ancestral or culturally inherited language associated with another entity.
  • E. historicalLanguageRegion chosen
    Indicates that a language was historically spoken or used within a particular geographic region, regardless of its current status there.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd67c9c3c08190a6c4944cdd1362a8 completed March 20, 2026, 3:29 p.m.
PD Predicate disambiguation batch_69bd6220071881909670c89d072ffb6d completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:19 p.m.