Triple

T162865
Position Surface form Disambiguated ID Type / Status
Subject Romandy E2947 entity
Predicate includesCanton P5501 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: [Romandy, includesCanton, Geneva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geneva
Context triple: [Romandy, includesCanton, 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. 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. Geneva metropolitan area
    The Geneva metropolitan area is the cross-border urban region centered on the city of Geneva, spanning parts of Switzerland and France and functioning as a major international, financial, and diplomatic hub.
  • D. Neuchâtel
    Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
  • E. Lausanne, Switzerland
    Lausanne, Switzerland is a picturesque city on the shores of Lake Geneva known for its role as an Olympic capital and its vibrant cultural and academic life.
  • 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: includesCanton
Context triple: [Romandy, includesCanton, Geneva]
  • A. canton
    Indicates that an entity is administratively located within, belongs to, or is governed as part of a specific canton.
  • B. cantonDesign
    Indicates that a canton (administrative region) is responsible for designing or determining the form, structure, or layout of something.
  • C. hasRegionalCommission
    Indicates that an entity is associated with, overseen by, or falls under the jurisdiction of a specific regional commission.
  • D. typicalCountryIncluded
    Indicates that a country is commonly or characteristically included within a given grouping, context, or set.
  • E. hasCouncilDistrict
    Indicates that an entity is located within or represented by a specific council district.
  • F. None of above. chosen

Provenance (5 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a2585a1a6481908899ad51211950e8 completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3d23c0fd4819092dea53bc8d990ad completed March 1, 2026, 5:44 a.m.
PD Predicate disambiguation batch_69a2566392208190a538ea9aa1fac53e completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a257101060819094db0f3a3a72f312 completed Feb. 28, 2026, 2:46 a.m.
Created at: Feb. 28, 2026, 2:34 a.m.