Triple

T17766981
Position Surface form Disambiguated ID Type / Status
Subject Halberstadt E443531 entity
Predicate hasLandmark P105 FINISHED
Object Halberstadt town hall 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: Halberstadt town hall | Statement: [Halberstadt, hasLandmark, Halberstadt town hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halberstadt town hall
Context triple: [Halberstadt, hasLandmark, Halberstadt town hall]
  • A. Hildesheim Town Hall
    Hildesheim Town Hall is a historic civic building on Hildesheim’s central market square, known for its medieval architecture and role as the seat of the city’s municipal administration.
  • B. Lübeck Town Hall
    Lübeck Town Hall is a historic Gothic-style city hall in Lübeck, Germany, renowned as one of the oldest and most impressive town halls in the country and a key landmark of the Hanseatic city’s medieval center.
  • C. Bremen Town Hall
    Bremen Town Hall is a historic Gothic and Renaissance-style building in Bremen, Germany, renowned as a UNESCO World Heritage Site and the seat of the city’s government.
  • D. Halberstadt Cathedral
    Halberstadt Cathedral is a historic Gothic church in Halberstadt, Germany, renowned for its medieval architecture and significant collection of religious art and treasures.
  • E. Lüneburg Town Hall
    Lüneburg Town Hall is a historic and architecturally significant city hall in Lüneburg, Germany, renowned for its medieval and baroque elements.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Halberstadt town hall
Target entity description: Halberstadt town hall is a historic municipal building in Halberstadt, Germany, noted for its medieval architecture and role as the city’s administrative center.
  • A. Hildesheim Town Hall
    Hildesheim Town Hall is a historic civic building on Hildesheim’s central market square, known for its medieval architecture and role as the seat of the city’s municipal administration.
  • B. Lübeck Town Hall
    Lübeck Town Hall is a historic Gothic-style city hall in Lübeck, Germany, renowned as one of the oldest and most impressive town halls in the country and a key landmark of the Hanseatic city’s medieval center.
  • C. Bremen Town Hall
    Bremen Town Hall is a historic Gothic and Renaissance-style building in Bremen, Germany, renowned as a UNESCO World Heritage Site and the seat of the city’s government.
  • D. Halberstadt Cathedral
    Halberstadt Cathedral is a historic Gothic church in Halberstadt, Germany, renowned for its medieval architecture and significant collection of religious art and treasures.
  • E. Lüneburg Town Hall
    Lüneburg Town Hall is a historic and architecturally significant city hall in Lüneburg, Germany, renowned for its medieval and baroque elements.
  • F. None of above. chosen

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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fccb9881908923564bf319f3c1 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.