Triple

T22383687
Position Surface form Disambiguated ID Type / Status
Subject Museum Mile Bonn E553338 entity
Predicate cityDistrictsCovered P143741 FINISHED
Object Bonn-Zentrum NE NERFINISHED

How this triple was built (3 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-Zentrum | Statement: [Museum Mile Bonn, cityDistrictsCovered, Bonn-Zentrum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonn-Zentrum
Context triple: [Museum Mile Bonn, cityDistrictsCovered, Bonn-Zentrum]
  • A. 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.
  • B. Bonn-Oberkassel
    Bonn-Oberkassel is a district of the German city of Bonn, known for its scenic location along the Rhine and its proximity to the Siebengebirge hills.
  • C. Bonn-Duisdorf
    Bonn-Duisdorf is a district in the western part of Bonn, Germany, characterized by residential areas and local commercial infrastructure.
  • D. Cologne-Deutz
    Cologne-Deutz is a district on the eastern bank of the Rhine in Cologne, Germany, known for its trade fair grounds, arena, and major transport connections.
  • E. district Bonn-Zentrum chosen
    District Bonn-Zentrum is the central urban district of Bonn, Germany, encompassing the city’s historic core, key cultural sites, and main commercial areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cityDistrictsCovered
Context triple: [Museum Mile Bonn, cityDistrictsCovered, Bonn-Zentrum]
  • A. cityDistrictLevel
    Indicates that one administrative unit is a district-level subdivision within a given city in the territorial hierarchy.
  • B. cityDistrictType
    Indicates the type or classification of a city district within an urban or administrative structure.
  • C. cityDistrictFunction
    Indicates that a specific function, role, or land-use purpose is assigned to or characterizes a particular district within a city.
  • D. targetCityDistrict
    Indicates that one entity is a specific city district that serves as the target or destination in relation to another entity.
  • E. inCityDistrict chosen
    Indicates that one entity is located within the boundaries of a specific city district.
  • F. None of above.

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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1582d8e548190a7330de49d519675 completed April 29, 2026, 1 a.m.
PD Predicate disambiguation batch_69e73015484c8190a9a0b9f554b61a81 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:45 p.m.