Triple

T7126023
Position Surface form Disambiguated ID Type / Status
Subject Geneva–Lausanne metropolitan area E166063 entity
Predicate hasInternationalOrganizationCenter P9395 FINISHED
Object Geneva E414 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: Geneva | Statement: [Geneva–Lausanne metropolitan area, hasInternationalOrganizationCenter, Geneva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geneva
Context triple: [Geneva–Lausanne metropolitan area, hasInternationalOrganizationCenter, Geneva]
  • A. Geneva chosen
    Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
  • B. 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.
  • C. 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.
  • D. Berne
    Berne is the de facto capital city of Switzerland and the seat of its federal government institutions.
  • 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: hasInternationalOrganizationCenter
Context triple: [Geneva–Lausanne metropolitan area, hasInternationalOrganizationCenter, Geneva]
  • A. hasInternationalOrganizationOffice chosen
    Indicates that an international organization maintains an official office or physical presence at a given location.
  • B. hasInternationalOrganizationRole
    Indicates that an entity holds or has held a specific role, position, or function within an international organization.
  • C. hasResearchCentersIn
    Indicates that an entity maintains or operates research centers located within a specified place or region.
  • D. hasCentralOrgan
    Indicates that an entity possesses a primary or main organ that serves as a central functional or structural component.
  • E. involvedInternationalOrganization
    Indicates that an entity participates in, is affiliated with, or plays a role within an international organization.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e64d99888190a93c1822e19b5457 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9251db3388190b8b0ac7549647887 completed March 29, 2026, 1:11 p.m.
PD Predicate disambiguation batch_69c6e1c7289881909f3b533c384f9ed4 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:44 p.m.