Triple

T17429408
Position Surface form Disambiguated ID Type / Status
Subject Glyptothek, Munich E423827 entity
Predicate near P350 FINISHED
Object Propyläen (Munich) 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: Propyläen (Munich) | Statement: [Glyptothek, Munich, near, Propyläen (Munich)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Propyläen (Munich)
Context triple: [Glyptothek, Munich, near, Propyläen (Munich)]
  • A. Neubiberg
    Neubiberg is a municipality in the Munich district of Bavaria, Germany, known for its residential character and proximity to the Bavarian capital.
  • B. Maxvorstadt, Munich chosen
    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.
  • C. Munich-Haidhausen
    Munich-Haidhausen is a historic and centrally located district of Munich known for its charming old streets, vibrant cultural scene, and mix of residential and governmental buildings.
  • D. Fürstenfeldbruck
    Fürstenfeldbruck is a town in Upper Bavaria, Germany, known for its historic monastery, proximity to Munich, and nearby air base.
  • E. Oberschleißheim
    Oberschleißheim is a municipality near Munich in Bavaria, Germany, best known for its grand baroque Schleißheim Palace complex and surrounding historic parklands.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448fe9e28819092a80f5686eb362f completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.