Triple

T5247202
Position Surface form Disambiguated ID Type / Status
Subject Limmat River E118490 entity
Predicate crossedBy P416 FINISHED
Object Hardbrücke E360725 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: Hardbrücke | Statement: [Limmat River, crossedBy, Hardbrücke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hardbrücke
Context triple: [Limmat River, crossedBy, Hardbrücke]
  • A. Hardbrücke chosen
    Hardbrücke is a major road and railway bridge in Zurich, Switzerland, serving as an important traffic artery across the Limmat and nearby rail tracks.
  • B. Kaisermühlenbrücke
    Kaisermühlenbrücke is a bridge in the Kaisermühlen district of Vienna, Austria, serving as a key crossing over the Danube.
  • C. 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.
  • D. Luitpoldbrücke
    Luitpoldbrücke is a historic bridge in Munich that spans the Isar River and connects key parts of the city along Prinzregentenstraße.
  • E. Kornhausbrücke
    Kornhausbrücke is a bridge in Zurich, Switzerland, that carries traffic across the Limmat River near the city’s historic center.
  • 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_69bf18770e608190932d9de276e47212 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:50 p.m.