Triple

T5952790
Position Surface form Disambiguated ID Type / Status
Subject Zurich North America E132437 entity
Predicate hasAbbreviation P43 FINISHED
Object Zurich NA E132437 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: Zurich NA | Statement: [Zurich North America, hasAbbreviation, Zurich NA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zurich NA
Context triple: [Zurich North America, hasAbbreviation, Zurich NA]
  • A. Zurich North America chosen
    Zurich North America is a leading commercial property and casualty insurance provider serving businesses and individuals across the United States and Canada.
  • B. Zurich
    Zurich is the largest city in Switzerland, known as a global financial hub and cultural center situated on the shores of Lake Zurich.
  • C. Zurich Wiedikon
    Zurich Wiedikon is a residential and commercial district in the city of Zurich, Switzerland, known for its urban character, good public transport connections, and proximity to the Sihl River.
  • D. St. Gallen
    St. Gallen is a historic city in northeastern Switzerland renowned for its UNESCO-listed Abbey of Saint Gall and rich textile heritage.
  • E. Rüschlikon, Switzerland
    Rüschlikon, Switzerland is a wealthy lakeside municipality near Zurich known for hosting major institutions and events, including the Gottlieb Duttweiler Prize ceremonies and the IBM Research laboratory.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03983b8848190afaa37f35c95bad6 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3d1801c819093dc43dc5a525796 completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:02 p.m.