Triple

T5247221
Position Surface form Disambiguated ID Type / Status
Subject Limmat River E118490 entity
Predicate hasBridge P386 FINISHED
Object Quaibrücke E505126 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: Quaibrücke | Statement: [Limmat River, hasBridge, Quaibrücke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quaibrücke
Context triple: [Limmat River, hasBridge, Quaibrücke]
  • A. Quaibrücke chosen
    Quaibrücke is a prominent road and tram bridge in central Zurich, Switzerland, connecting the old town with the lakeside area where the Limmat River flows out of Lake Zurich.
  • B. Schlossbrücke
    Schlossbrücke is a historic bridge in central Berlin that spans the Spree River, connecting Unter den Linden with Museum Island near the Berlin Palace.
  • C. Hogeweidebrug
    Hogeweidebrug is a bridge spanning the Amsterdam–Rhine Canal in the Netherlands, serving as part of the local road and transport infrastructure.
  • D. Rathausbrücke
    Rathausbrücke is a historic pedestrian bridge in central Zurich, Switzerland, spanning the Limmat River near the city hall and the old town.
  • E. Weidendammer Bridge
    The Weidendammer Bridge is a historic cast-iron bridge in central Berlin, Germany, known for spanning the Spree River near Friedrichstraße and surviving World War II.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b5320748190bcf3be4b6c364f92 completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf331e0e2881908b52da110384302a completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 1:50 p.m.