Triple

T20948378
Position Surface form Disambiguated ID Type / Status
Subject Strelasund E515910 entity
Predicate crossedBy P416 FINISHED
Object Rügen Bridge 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: Rügen Bridge | Statement: [Strelasund, crossedBy, Rügen Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rügen Bridge
Context triple: [Strelasund, crossedBy, Rügen Bridge]
  • A. Rügen Bridge chosen
    The Rügen Bridge is a modern cable-stayed road bridge in Germany that connects the mainland city of Stralsund with the Baltic Sea island of Rügen, serving as a major transport link in the region.
  • B. Weser Bridge
    Weser Bridge is a notable bridge spanning the Weser River in Minden, Germany, serving as a key transportation link and local landmark.
  • C. Tjeldsund Bridge
    Tjeldsund Bridge is a major road bridge in northern Norway that connects the island of Hinnøya to the mainland, serving as an important regional transport link.
  • D. Fehmarn Sound Bridge
    The Fehmarn Sound Bridge is a prominent German road and rail bridge that links the island of Fehmarn with the mainland across the Fehmarn Sound in the Baltic Sea.
  • E. Schleswig bridge
    The Schleswig Bridge is a structure spanning the Schlei inlet in northern Germany, connecting parts of the historic town of Schleswig and facilitating regional road and pedestrian traffic.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fadab7708190bb3a10bdd3f32d90 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 1 p.m.