Triple

T21106749
Position Surface form Disambiguated ID Type / Status
Subject Ludwigsbrücke E520065 entity
Predicate hasNameInLanguage P15 FINISHED
Object Ludwigsbrücke (German) 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: Ludwigsbrücke (German) | Statement: [Ludwigsbrücke, hasNameInLanguage, Ludwigsbrücke (German)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludwigsbrücke (German)
Context triple: [Ludwigsbrücke, hasNameInLanguage, Ludwigsbrücke (German)]
  • A. Ludwigsbrücke chosen
    Ludwigsbrücke is a historic bridge in Munich, Germany, spanning the Isar River and connecting the city center with the eastern districts.
  • B. Luitpoldbrücke
    Luitpoldbrücke is a historic bridge in Munich that spans the Isar River and connects key parts of the city along Prinzregentenstraße.
  • C. Marienbrücke
    Marienbrücke is a famous pedestrian bridge near Neuschwanstein Castle in Bavaria, Germany, renowned for its panoramic views of the castle and the surrounding gorge.
  • D. Maximiliansbrücke
    Maximiliansbrücke is a historic bridge in Munich, Germany, that spans the Isar River and connects the city center with the Maximilianeum and surrounding districts.
  • E. Krämerbrücke
    Krämerbrücke is a historic medieval bridge in Erfurt, Germany, famous for its densely packed, half-timbered houses built along its span and its role as a former merchants’ street.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e720fe800c81909edf215c5f1f27c2 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:53 p.m.