Triple

T1964672
Position Surface form Disambiguated ID Type / Status
Subject Blomberg E42660 entity
Predicate hasHistoricSite P1098 FINISHED
Object Blomberg marketplace E42660 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: Blomberg marketplace | Statement: [Blomberg, hasHistoricSite, Blomberg marketplace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blomberg marketplace
Context triple: [Blomberg, hasHistoricSite, Blomberg marketplace]
  • A. Blomberg chosen
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • B. IKEA
    IKEA is a multinational Swedish-founded retailer known for its affordable, flat-pack furniture, home goods, and large warehouse-style stores worldwide.
  • C. Behrs
    Behrs is the maiden surname of Sophia Tolstaya, the wife of Russian novelist Leo Tolstoy, and belongs to a Russian noble family.
  • D. Valbo Köpcentrum
    Valbo Köpcentrum is a major regional shopping mall in Valbo, Sweden, featuring a wide range of retail stores, services, and dining options.
  • E. Marketplace
    Marketplace is a long-running public radio program and podcast focused on in-depth coverage and analysis of business, economic, and financial news.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3ada4148190ad830d4a3d7fd662 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd52de08190b1df8adb4e2c885d completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.