Triple

T2046915
Position Surface form Disambiguated ID Type / Status
Subject Mossenberg-Wöhren E45473 entity
Predicate partOf P40 FINISHED
Object Blomberg 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 | Statement: [Mossenberg-Wöhren, partOf, Blomberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blomberg
Context triple: [Mossenberg-Wöhren, partOf, Blomberg]
  • 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. Gaggenau
    Gaggenau is a town in the state of Baden-Württemberg in southwestern Germany, located in the Murg Valley near the Black Forest.
  • C. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • D. Robart
    Robart is an alternative spelling of the given name Robert, typically used as a personal or family name.
  • E. Petit & Fritsen
    Petit & Fritsen is a historic Dutch bell foundry renowned for casting church bells and carillons used in notable towers and monuments worldwide.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb973a51881908c2c1e633daa3cb4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2003e9488190b54ff042c91d4a62 completed March 9, 2026, 1:19 a.m.
Created at: March 4, 2026, 7:39 p.m.