Triple

T14868176
Position Surface form Disambiguated ID Type / Status
Subject Stadthaus Zürich E349671 entity
Predicate locatedOn P40 FINISHED
Object Stadthausbrücke E352212 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: Stadthausbrücke | Statement: [Stadthaus Zürich, locatedOn, Stadthausbrücke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadthausbrücke
Context triple: [Stadthaus Zürich, locatedOn, Stadthausbrücke]
  • A. Rathausbrücke chosen
    Rathausbrücke is a historic pedestrian bridge in central Zurich, Switzerland, spanning the Limmat River near the city hall and the old town.
  • B. 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.
  • 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. Kornhausbrücke
    Kornhausbrücke is a bridge in Zurich, Switzerland, that carries traffic across the Limmat River near the city’s historic center.
  • E. Kornhausbrücke
    Kornhausbrücke is a historic bridge in Bern, Switzerland, spanning the Aare River and connecting the Old City with newer districts.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5776b848190bfe3a06ff261dc31 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe651067cc8190b9c218ef1f802762 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:55 a.m.