Triple

T20572136
Position Surface form Disambiguated ID Type / Status
Subject Quaibrücke E505126 entity
Predicate maintainedBy P86 FINISHED
Object City of Zürich 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: City of Zürich | Statement: [Quaibrücke, maintainedBy, City of Zürich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Zürich
Context triple: [Quaibrücke, maintainedBy, City of Zürich]
  • A. Zürich city centre
    Zürich city centre is the historic and commercial heart of Zurich, Switzerland, known for its medieval old town, major shopping streets, and key cultural and financial institutions.
  • B. City of Lucerne
    The City of Lucerne is a historic Swiss city and member of the Old Swiss Confederacy, known for its strategic location by Lake Lucerne and its role in late medieval conflicts such as the Burgundian Wars.
  • C. Zurich chosen
    Zurich is the largest city in Switzerland, known as a global financial hub and cultural center situated on the shores of Lake Zurich.
  • D. Stadt Winterthur
    Stadt Winterthur is the municipal government of the Swiss city of Winterthur, responsible for local administration, public services, and cultural institutions.
  • E. St. Gallen
    St. Gallen is a historic city in northeastern Switzerland renowned for its UNESCO-listed Abbey of Saint Gall and rich textile heritage.
  • 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a905b1288190bbad9aa14362bb97 completed April 20, 2026, 10:30 p.m.
Created at: April 16, 2026, 11:39 a.m.