Triple

T21433720
Position Surface form Disambiguated ID Type / Status
Subject reconstructed Berlin Palace facades E528752 entity
Predicate faces P1699 FINISHED
Object Lustgarten 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: Lustgarten | Statement: [reconstructed Berlin Palace facades, faces, Lustgarten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lustgarten
Context triple: [reconstructed Berlin Palace facades, faces, Lustgarten]
  • A. Lustgarten chosen
    Lustgarten is a historic public park and square on Berlin’s Museum Island, long used as a parade ground and gathering place.
  • B. Wildenberg
    Wildenberg is a small municipality in the Kelheim district of Lower Bavaria, Germany, known for its rural character and agricultural surroundings.
  • C. Rittersgrün
    Rittersgrün is a village in the Saxon Ore Mountains of Germany known historically for its role in regional mining and its traditional mountain culture.
  • D. Leingarten
    Leingarten is a municipality in the Heilbronn district of Baden-Württemberg, Germany, known for its wine-growing tradition and location near the city of Heilbronn.
  • E. Schaanwald
    Schaanwald is a village in northern Liechtenstein near the Austrian border, known as a small residential locality within the municipality of Mauren.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b5344c048190adfa6f6dd1b453ac completed April 22, 2026, 11:47 a.m.
Created at: April 16, 2026, 6 p.m.