Triple

T22276177
Position Surface form Disambiguated ID Type / Status
Subject Asam Church Maria de Victoria E550612 entity
Predicate locatedIn P40 FINISHED
Object Old Town of Ingolstadt 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: Old Town of Ingolstadt | Statement: [Asam Church Maria de Victoria, locatedIn, Old Town of Ingolstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Town of Ingolstadt
Context triple: [Asam Church Maria de Victoria, locatedIn, Old Town of Ingolstadt]
  • A. City of Ingolstadt
    The City of Ingolstadt is a historic Bavarian city on the Danube River in southern Germany, known for its medieval old town, automotive industry (including Audi’s headquarters), and longstanding academic and cultural traditions.
  • B. Old Town of Fürth
    The Old Town of Fürth is the historic center of the Bavarian city of Fürth, characterized by its well-preserved medieval street layout, traditional Franconian architecture, and notable landmarks such as the bustling Gustavstraße.
  • C. Augsburg Old Town
    Augsburg Old Town is the historic city center of Augsburg, Germany, known for its well-preserved medieval streets, Renaissance architecture, and significant cultural landmarks.
  • D. Old Town of Ulm
    The Old Town of Ulm is a historic city center in southern Germany renowned for its medieval architecture, narrow streets, and well-preserved quarters such as the picturesque Fishermen’s and Tanners’ Quarter along the Danube.
  • E. Old Town of Nuremberg
    The Old Town of Nuremberg is the historic medieval center of Nuremberg, Germany, renowned for its preserved architecture, city walls, and cultural landmarks.
  • 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: Old Town of Ingolstadt
Target entity description: The Old Town of Ingolstadt is the historic center of the Bavarian city of Ingolstadt, characterized by its preserved medieval street layout, significant baroque and gothic architecture, and rich cultural heritage.
  • A. City of Ingolstadt chosen
    The City of Ingolstadt is a historic Bavarian city on the Danube River in southern Germany, known for its medieval old town, automotive industry (including Audi’s headquarters), and longstanding academic and cultural traditions.
  • B. Old Town of Fürth
    The Old Town of Fürth is the historic center of the Bavarian city of Fürth, characterized by its well-preserved medieval street layout, traditional Franconian architecture, and notable landmarks such as the bustling Gustavstraße.
  • C. Augsburg Old Town
    Augsburg Old Town is the historic city center of Augsburg, Germany, known for its well-preserved medieval streets, Renaissance architecture, and significant cultural landmarks.
  • D. Old Town of Ulm
    The Old Town of Ulm is a historic city center in southern Germany renowned for its medieval architecture, narrow streets, and well-preserved quarters such as the picturesque Fishermen’s and Tanners’ Quarter along the Danube.
  • E. Old Town of Nuremberg
    The Old Town of Nuremberg is the historic medieval center of Nuremberg, Germany, renowned for its preserved architecture, city walls, and cultural landmarks.
  • F. None of above.

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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea7ebbc8190948e8994e988adb3 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.