Triple

T12352834
Position Surface form Disambiguated ID Type / Status
Subject St. Michael's Church, Munich E294533 entity
Predicate locatedOn P40 FINISHED
Object Neuhauser Straße E757170 NE FINISHED

How this triple was built (2 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: Neuhauser Straße | Statement: [St. Michael's Church, Munich, locatedOn, Neuhauser Straße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neuhauser Straße
Context triple: [St. Michael's Church, Munich, locatedOn, Neuhauser Straße]
  • A. Neuhauser Straße chosen
    Neuhauser Straße is a major pedestrian shopping street in Munich’s city center, known for its historic buildings, retail stores, and role as part of the main east–west thoroughfare.
  • B. Siesmayerstraße
    Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
  • C. Brienner Straße
    Brienner Straße is a historic boulevard in Munich, Germany, known for its neoclassical architecture and its role as one of the city’s grand royal avenues.
  • D. Hein-Hoyer-Straße
    Hein-Hoyer-Straße is a street in Hamburg’s St. Pauli district, located near the Reeperbahn and served by the Reeperbahn S-Bahn station.
  • E. Bolkerstraße
    Bolkerstraße is a historic and lively street in Düsseldorf’s Altstadt, known for its dense concentration of bars, restaurants, and nightlife.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8aa33c8190b22b7dff9559b8ed completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab2dc30819082b12fa35f585762 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.