Triple

T20272495
Position Surface form Disambiguated ID Type / Status
Subject National Theatre Munich E502924 entity
Predicate locatedInOldTown P40 FINISHED
Object Munich Old Town NE NERFINISHED

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: Munich Old Town | Statement: [National Theatre Munich, locatedInOldTown, Munich Old Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munich Old Town
Context triple: [National Theatre Munich, locatedInOldTown, Munich Old Town]
  • A. Munich old town chosen
    Munich old town is the historic city center of Munich, Germany, known for its medieval street layout, landmark churches, and major squares such as Marienplatz.
  • B. 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.
  • C. Berlin old town
    Berlin old town is the historic core of Germany’s capital, characterized by its medieval street layout, landmark churches, and proximity to the River Spree.
  • D. Maxvorstadt, Munich
    Maxvorstadt is a central Munich district known for its cultural institutions, universities, and museums, forming one of the city's key intellectual and artistic hubs.
  • E. Giesing
    Giesing is a district in Munich, Germany, known as a historically working-class neighborhood that today combines residential areas with notable institutions such as the nearby Stadelheim Prison.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675dff3c4819098ba45eba4e7b296 completed April 20, 2026, 6:52 p.m.
Created at: April 16, 2026, 10:15 a.m.