Triple

T22003021
Position Surface form Disambiguated ID Type / Status
Subject Perlach Tower E543379 entity
Predicate locatedInOldTown P40 FINISHED
Object Augsburg Old Town — 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: Augsburg Old Town | Statement: [Perlach Tower, locatedInOldTown, Augsburg Old Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Augsburg Old Town
Context triple: [Perlach Tower, locatedInOldTown, Augsburg Old Town]
  • A. Rosenheim old town
    Rosenheim old town is the historic center of the Bavarian city of Rosenheim, known for its picturesque squares, traditional architecture, and lively pedestrian areas.
  • B. 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.
  • C. Imperial City of Ravensburg
    The Imperial City of Ravensburg was a self-governing Free Imperial City of the Holy Roman Empire located in the historical region of Swabia, in present-day southern Germany.
  • D. 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.
  • E. Imperial City of Kaufbeuren
    The Imperial City of Kaufbeuren was a self-governing Free Imperial City of the Holy Roman Empire located in the Swabian region of present-day Bavaria, Germany.
  • 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: Augsburg Old Town
Target entity description: Augsburg Old Town is the historic city center of Augsburg, Germany, known for its well-preserved medieval streets, Renaissance architecture, and significant cultural landmarks.
  • A. Rosenheim old town
    Rosenheim old town is the historic center of the Bavarian city of Rosenheim, known for its picturesque squares, traditional architecture, and lively pedestrian areas.
  • B. 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.
  • C. Imperial City of Ravensburg
    The Imperial City of Ravensburg was a self-governing Free Imperial City of the Holy Roman Empire located in the historical region of Swabia, in present-day southern Germany.
  • D. 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.
  • E. Imperial City of Kaufbeuren
    The Imperial City of Kaufbeuren was a self-governing Free Imperial City of the Holy Roman Empire located in the Swabian region of present-day Bavaria, Germany.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276bf2a48190910d9c27f1c5e74f completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:20 p.m.