Triple

T18147197
Position Surface form Disambiguated ID Type / Status
Subject Where Are We Now? E434418 entity
Predicate describesPlace P3024 FINISHED
Object KaDeWe NE NERFINISHED

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: KaDeWe | Statement: [Where Are We Now?, describesPlace, KaDeWe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KaDeWe
Context triple: [Where Are We Now?, describesPlace, KaDeWe]
  • A. Kaufhof
    Kaufhof was a major German department store chain that later became part of the Galeria Kaufhof brand.
  • B. Karstadt
    Karstadt is a major German department store chain known for its wide range of consumer goods and long-standing presence in the country’s retail sector.
  • C. Peek & Cloppenburg department store
    Peek & Cloppenburg is a major European fashion retail chain of large department stores offering a wide range of clothing and accessories for men, women, and children.
  • D. Kaufhaus des Westens (KaDeWe) chosen
    Kaufhaus des Westens (KaDeWe) is a famous and historic luxury department store in Berlin, renowned as one of the largest and most prestigious in Europe.
  • E. Titche-Goettinger department store
    Titche-Goettinger department store was a prominent Dallas-based retail establishment that became a landmark of early 20th-century commerce and urban development in the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de34bb608190a4842e86f2912dec completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.