Triple

T6274960
Position Surface form Disambiguated ID Type / Status
Subject Bishopric of Tilburg E140632 entity
Predicate historicalRegionLanguage P29176 FINISHED
Object Middle Dutch 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: Middle Dutch | Statement: [Bishopric of Tilburg, historicalRegionLanguage, Middle Dutch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalRegionLanguage
Context triple: [Bishopric of Tilburg, historicalRegionLanguage, Middle Dutch]
  • A. historicalLanguageRegion chosen
    Indicates that a language was historically spoken or used within a particular geographic region, regardless of its current status there.
  • B. historicalLanguageGroup
    Indicates that two or more entities belong to the same historically defined language group or family, based on shared linguistic ancestry or development.
  • C. historicallySpokenIn
    Indicates that a language was used for spoken communication in a particular place or region during a past historical period.
  • D. historicalLanguage
    Indicates that one language is a historical or earlier form/ancestor of another language.
  • E. historicalRegion
    Indicates that an entity is or was a geographically defined area recognized for its significance during a particular 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063c0629c8190805ddf1a604e9ca4 completed March 22, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69c05606fb50819082d1a5a91e5030b6 completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:25 p.m.