Triple

T15937192
Position Surface form Disambiguated ID Type / Status
Subject Kaisermühlen E386467 entity
Predicate hasTransportConnection P845 FINISHED
Object Reichsbrücke E393985 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: Reichsbrücke | Statement: [Kaisermühlen, hasTransportConnection, Reichsbrücke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reichsbrücke
Context triple: [Kaisermühlen, hasTransportConnection, Reichsbrücke]
  • A. Hohenzollern Bridge
    The Hohenzollern Bridge is a historic railway and pedestrian bridge over the Rhine in Cologne, Germany, famous for its heavy train traffic and thousands of love locks attached to its railings.
  • B. Hindenburgbrücke
    Hindenburgbrücke was the original name of Berlin’s Bösebrücke, a historically significant bridge best known as the first border crossing opened during the fall of the Berlin Wall in 1989.
  • C. Kaisermühlenbrücke chosen
    Kaisermühlenbrücke is a bridge in the Kaisermühlen district of Vienna, Austria, serving as a key crossing over the Danube.
  • D. Wuhletalbrücke
    Wuhletalbrücke is a bridge in Berlin, Germany, that spans the Wuhle river and serves as part of the city’s transport infrastructure.
  • E. Bahnhofbrücke
    Bahnhofbrücke is a central bridge in Zurich that connects the main railway station area with the city’s inner districts across the Limmat River.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ab7f548190b2d1aafa0e6d2c24 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbc5034c8190afcaa7d35c957396 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:53 a.m.