Triple

T1405493
Position Surface form Disambiguated ID Type / Status
Subject .ch E31681 entity
Predicate sponsoringOrganizationLocation P18540 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: [.ch, sponsoringOrganizationLocation, Zurich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zurich
Context triple: [.ch, sponsoringOrganizationLocation, 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: sponsoringOrganizationLocation
Context triple: [.ch, sponsoringOrganizationLocation, Zurich]
  • A. locationOfSponsorBusiness
    Indicates that a specified place is the physical location where the sponsor’s business operates or is based.
  • B. agencyLocatedIn chosen
    Indicates that an agency is situated or based within a specific geographic or administrative location.
  • C. managingOrganizationLocation
    Indicates that an organization has managerial or administrative responsibility over activities or operations occurring at a specified location.
  • D. sponsoringOrganizationType
    Indicates the kind or category of organization that provides sponsorship or support in the described relationship or activity.
  • E. locationOfAwardingBody
    Indicates the place or venue where the awarding body confers or grants an award.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bc55a08190a4dfe13a5378aff3 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b729cc34819093ebf3fac53d7a9d completed March 14, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69a4bf030a388190bc82d30b9233e873 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:59 p.m.