Triple

T6582776
Position Surface form Disambiguated ID Type / Status
Subject Lenbachhaus E157339 entity
Predicate locatedIn P40 FINISHED
Object Maxvorstadt, Munich E478074 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: Maxvorstadt, Munich | Statement: [Lenbachhaus, locatedIn, Maxvorstadt, Munich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maxvorstadt, Munich
Context triple: [Lenbachhaus, locatedIn, Maxvorstadt, Munich]
  • A. Großhadern district of Munich
    The Großhadern district of Munich is a largely residential southwestern borough best known for hosting major medical and university facilities, including the Ludwig Maximilian University’s Großhadern campus and the University Hospital of Munich.
  • B. Munich
    Munich is the capital and largest city of the German state of Bavaria, renowned for its rich cultural scene, historic architecture, and the annual Oktoberfest beer festival.
  • C. Martinsried
    Martinsried is a village near Munich, Germany, known as a major hub for life sciences and biotechnology research.
  • D. Fürstenfeldbruck
    Fürstenfeldbruck is a town in Upper Bavaria, Germany, known for its historic monastery, proximity to Munich, and nearby air base.
  • E. Maxvorstadt chosen
    Maxvorstadt is a central Munich district known for its concentration of major art museums, universities, and cultural institutions.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae9238b481909278316ef195018d completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbaafed8819096423d47dd4375a7 completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:54 p.m.