Triple

T33732509
Position Surface form Disambiguated ID Type / Status
Subject Münster im Elsass E864308 entity
Predicate hatGrenzüberschreitendeKulturgeschichte P177257 FINISHED
Object ja 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: ja | Statement: [Münster im Elsass, hatGrenzüberschreitendeKulturgeschichte, ja]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hatGrenzüberschreitendeKulturgeschichte
Context triple: [Münster im Elsass, hatGrenzüberschreitendeKulturgeschichte, ja]
  • A. ethnicHistory
    Indicates a relationship where one entity documents, describes, or is associated with the historical development, experiences, or heritage of an ethnic group.
  • B. historicalRegionCrossed
    Indicates that one entity passes through or traverses the territory of a historically defined region.
  • C. sharesHistoricalLegacyOf
    Indicates that one entity is connected to, or participates in, the same historical legacy, tradition, or heritage as another entity.
  • D. hasDistinctCulturalHeritage
    Indicates that an entity possesses a unique cultural background, traditions, or practices that distinguish it from other entities.
  • E. hasCulturalHeritageOn
    Indicates that one entity possesses, preserves, or is associated with the cultural heritage embodied in another entity.
  • 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_69f3498a64cc8190b4b414c67b280d93 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fb1fcda08190a503098914ba09ab completed May 3, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69f6f96dd4c8819093d6a7bd046a9ad5 completed May 3, 2026, 7:29 a.m.
PDg Predicate description generation batch_69f6fa335b908190a20d92d5396203b5 completed May 3, 2026, 7:33 a.m.
Created at: May 1, 2026, 1:44 a.m.