Triple

T22616268
Position Surface form Disambiguated ID Type / Status
Subject Bonn University main building E558154 entity
Predicate dominates P2547 FINISHED
Object Bonn city center 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 city center | Statement: [Bonn University main building, dominates, Bonn city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonn city center
Context triple: [Bonn University main building, dominates, Bonn city center]
  • A. Bonn pedestrian shopping zone
    The Bonn pedestrian shopping zone is a central car-free area in Bonn known for its dense concentration of shops, cafés, and street life.
  • B. Marktplatz Bonn
    Marktplatz Bonn is the historic central market square of Bonn, Germany, known for its town hall, outdoor markets, and role as a focal point of city life.
  • C. 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.
  • D. Bonn-Duisdorf
    Bonn-Duisdorf is a district in the western part of Bonn, Germany, characterized by residential areas and local commercial infrastructure.
  • E. Bonn-Endenich
    Bonn-Endenich is a district of the German city of Bonn, known for its residential character, cultural venues, and proximity to the city center.
  • 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f167eeb220819082c90a8bd3cadc4c completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:59 p.m.