Triple

T6542448
Position Surface form Disambiguated ID Type / Status
Subject Choulex E168322 entity
Predicate hasProximityToUrbanCenter P44123 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: [Choulex, hasProximityToUrbanCenter, Geneva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geneva
Context triple: [Choulex, hasProximityToUrbanCenter, 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: hasProximityToUrbanCenter
Context triple: [Choulex, hasProximityToUrbanCenter, Geneva]
  • A. hasUrbanProximity chosen
    Indicates that one entity is located near or within easy access to an urban area associated with another entity.
  • B. hasUrbanAreaApprox
    Indicates an approximate measure or estimate of the size or extent of an entity’s urban area.
  • C. nearbyUrbanCenter
    Indicates that one location is geographically close to an urban center, such as a city or large town.
  • D. isUrbanCenter
    Indicates that a place functions as a primary, densely developed hub of population, services, and activities within a region.
  • E. locatedNearMetropolitanArea
    Indicates that one entity is situated in close geographic proximity to a metropolitan (urban) area.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ce07332481909a5a7964282eb776 completed March 27, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9161f95a08190b68772a507936046 completed March 29, 2026, 12:07 p.m.
PD Predicate disambiguation batch_69c6acf3e3708190b052ec774e607cb7 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:50 p.m.