Triple

T18139077
Position Surface form Disambiguated ID Type / Status
Subject Dodge Sprinter E434213 entity
Predicate assemblyLocation P40 FINISHED
Object Düsseldorf, Germany 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: Düsseldorf, Germany | Statement: [Dodge Sprinter, assemblyLocation, Düsseldorf, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Düsseldorf, Germany
Context triple: [Dodge Sprinter, assemblyLocation, Düsseldorf, Germany]
  • A. Düsseldorf chosen
    Düsseldorf is a major German city on the Rhine River known for its fashion and art scenes, modern architecture, and status as an important economic and financial center.
  • B. Krefeld, Germany
    Krefeld, Germany is an industrial city in North Rhine-Westphalia known historically for its textile and silk production.
  • C. Bochum, Germany
    Bochum, Germany is an industrial city in the Ruhr region of western Germany known for its automotive manufacturing heritage and cultural institutions.
  • D. Mettmann, Germany
    Mettmann, Germany is a historic town in North Rhine-Westphalia known for its proximity to Düsseldorf and the nearby Neander Valley, where the famous Neanderthal fossils were discovered.
  • E. Dortmund
    Dortmund is a major city in western Germany known for its rich football culture, industrial heritage, and home club Borussia Dortmund.
  • 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_69e4de0993e88190b19c5cb35a6d252d completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.