Triple

T12576949
Position Surface form Disambiguated ID Type / Status
Subject Marienbrücke (Queen Mary’s Bridge) E300232 entity
Predicate locatedIn P40 FINISHED
Object Schwangau E211457 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: Schwangau | Statement: [Marienbrücke (Queen Mary’s Bridge), locatedIn, Schwangau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwangau
Context triple: [Marienbrücke (Queen Mary’s Bridge), locatedIn, Schwangau]
  • A. Schwangau chosen
    Schwangau is a Bavarian village in southern Germany best known as the home of the fairy-tale Neuschwanstein Castle and other nearby royal palaces amid the Alpine foothills.
  • B. Schwetzingen
    Schwetzingen is a town in southwestern Germany renowned for its Baroque palace and extensive formal gardens.
  • C. Gräfelfing
    Gräfelfing is a municipality in the district of Munich in Bavaria, Germany, known as a residential suburb located just west of the city of Munich.
  • D. Hohenpeißenberg
    Hohenpeißenberg is a Bavarian municipality best known for its prominent mountain and historic meteorological observatory, one of the oldest in the world.
  • E. Leutkirch im Allgäu
    Leutkirch im Allgäu is a historic town in the Allgäu region of southern Germany, known for its medieval old town and scenic Alpine foothill surroundings.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a73c148190bba8f16b1232fd46 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65599a9c0819086233fb2c622d243 completed May 2, 2026, 7:50 p.m.
Created at: April 9, 2026, 4:51 p.m.