Triple

T8276995
Position Surface form Disambiguated ID Type / Status
Subject Nordfriedhof, Kiel E193570 entity
Predicate ownedBy P347 FINISHED
Object City of Kiel E108871 NE 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: City of Kiel | Statement: [Nordfriedhof, Kiel, ownedBy, City of Kiel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Kiel
Context triple: [Nordfriedhof, Kiel, ownedBy, City of Kiel]
  • A. Kiel chosen
    Kiel is a major port city in northern Germany on the Baltic Sea, known for its maritime industry and the annual Kiel Week sailing festival.
  • B. Oldenburg
    Oldenburg is a historic university city in northwestern Germany known for its cultural heritage and role as a regional economic center.
  • C. Oldenburg
    Oldenburg is a historic European noble house that ruled various territories in Denmark, Norway, and northern Germany and provided numerous monarchs to several European thrones.
  • D. Luisenstadt
    Luisenstadt is a historic former district of Berlin, Germany, known for its 19th-century urban development and significant cultural and architectural heritage.
  • E. Quadratestadt
    Quadratestadt is the German nickname for the city of Mannheim, referring to its distinctive grid-like layout of city blocks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb79ea3fb481908b59414702a5147e completed March 31, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6ca48308190bd7a6c84d5954279 completed April 2, 2026, 1:30 a.m.
Created at: March 30, 2026, 5:51 p.m.