Triple

T22406024
Position Surface form Disambiguated ID Type / Status
Subject Legio I Minervia E553881 entity
Predicate location P40 FINISHED
Object Bonn, 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: Bonn, Germany | Statement: [Legio I Minervia, location, Bonn, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonn, Germany
Context triple: [Legio I Minervia, location, Bonn, Germany]
  • A. Bonn chosen
    Bonn is a historic German city on the Rhine River, best known for being the birthplace of Ludwig van Beethoven and the former seat of the federal government before reunification.
  • B. Frankfort, Germany
    Frankfort, Germany is a German city whose name has been used for places abroad, including the village of Frankfort in Illinois, USA.
  • 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. Barth, Germany
    Barth is a small town in the state of Mecklenburg-Vorpommern in northeastern Germany, located near the Baltic Sea coast.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b835e88190a388e19577df771e completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.