Triple

T2570356
Position Surface form Disambiguated ID Type / Status
Subject Swiss Germans E57649 entity
Predicate associatedWithCanton P3942 FINISHED
Object Zurich E13407 NE FINISHED

How this triple was built (3 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 | Statement: [Swiss Germans, associatedWithCanton, Zurich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zurich
Context triple: [Swiss Germans, associatedWithCanton, Zurich]
  • A. 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.
  • B. Geneva
    Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
  • C. Geneva
    Geneva is a small city in northeastern Ohio situated along Lake Erie, known for its wineries, tourism, and location within the Rust Belt region.
  • D. Geneva
    Geneva is a small city in New York's Finger Lakes region, known for its lakeside setting on Seneca Lake and its historic colleges and wineries.
  • E. Lausanne
    Lausanne is a major Swiss city on the shores of Lake Geneva, known for hosting the International Olympic Committee and its vibrant cultural and academic institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithCanton
Context triple: [Swiss Germans, associatedWithCanton, Zurich]
  • A. hasCanton
    Indicates that an entity is administratively divided into, or associated with, a specific canton.
  • B. includesCanton
    Indicates that a larger administrative or geographic entity contains or encompasses a specific canton within its boundaries.
  • C. cantonCode
    Indicates the specific administrative canton identifier associated with an entity or location.
  • D. canton chosen
    Indicates that an entity is administratively located within, belongs to, or is governed as part of a specific canton.
  • E. cantonPosition
    Indicates the relative placement or arrangement of a canton within a larger geographic or administrative context.
  • F. None of above.

Provenance (4 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd382928c8190b6316f3db48d8e73 completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6720949bc8190923e135c80185504 completed March 15, 2026, 8:47 a.m.
PD Predicate disambiguation batch_69abd0ce4dcc8190b17a65abf9bd1bb0 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:48 p.m.