Triple

T22276111
Position Surface form Disambiguated ID Type / Status
Subject Old Town Hall Ingolstadt E550610 entity
Predicate locatedIn P40 FINISHED
Object Old Town 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 Ingolstadt | Statement: [Old Town Hall Ingolstadt, locatedIn, Old Town Ingolstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Town Ingolstadt
Context triple: [Old Town Hall Ingolstadt, locatedIn, Old Town Ingolstadt]
  • A. Altdorf bei Nürnberg
    Altdorf bei Nürnberg is a small historic town in Bavaria, Germany, known for its former university and proximity to the city of Nuremberg.
  • B. Old Town Hall Ingolstadt
    Old Town Hall Ingolstadt is a historic municipal building in Ingolstadt, Germany, known for its distinctive architecture and role as a central landmark in the city’s old town.
  • C. Altdorf (Landshut)
    Altdorf (Landshut) is a municipality in Lower Bavaria, Germany, situated near the city of Landshut.
  • D. Imperial City of Schwäbisch Hall
    The Imperial City of Schwäbisch Hall was a self-governing Free Imperial City of the Holy Roman Empire in present-day Baden-Württemberg, Germany, historically known for its salt production and well-preserved medieval architecture.
  • E. Imperial City of Dinkelsbühl
    The Imperial City of Dinkelsbühl is a well-preserved historic town in Bavaria, Germany, renowned for its intact medieval city walls, timber-framed houses, and rich imperial free city heritage.
  • 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 Ingolstadt
Target entity description: Old Town Ingolstadt is the historic city center of Ingolstadt, Germany, characterized by its preserved medieval layout, notable architecture, and cultural landmarks.
  • A. Altdorf bei Nürnberg
    Altdorf bei Nürnberg is a small historic town in Bavaria, Germany, known for its former university and proximity to the city of Nuremberg.
  • B. Old Town Hall Ingolstadt chosen
    Old Town Hall Ingolstadt is a historic municipal building in Ingolstadt, Germany, known for its distinctive architecture and role as a central landmark in the city’s old town.
  • C. Altdorf (Landshut)
    Altdorf (Landshut) is a municipality in Lower Bavaria, Germany, situated near the city of Landshut.
  • D. Imperial City of Schwäbisch Hall
    The Imperial City of Schwäbisch Hall was a self-governing Free Imperial City of the Holy Roman Empire in present-day Baden-Württemberg, Germany, historically known for its salt production and well-preserved medieval architecture.
  • E. Imperial City of Dinkelsbühl
    The Imperial City of Dinkelsbühl is a well-preserved historic town in Bavaria, Germany, renowned for its intact medieval city walls, timber-framed houses, and rich imperial free city heritage.
  • 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.