Triple

T3927765
Position Surface form Disambiguated ID Type / Status
Subject Bern metropolitan area E93317 entity
Predicate urbanCore P30030 FINISHED
Object city of Bern E81271 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: city of Bern | Statement: [Bern metropolitan area, urbanCore, city of Bern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Bern
Context triple: [Bern metropolitan area, urbanCore, city of Bern]
  • A. Bern, Switzerland chosen
    Bern, Switzerland is the de facto capital of Switzerland, known for its well-preserved medieval old town, political institutions, and cultural heritage.
  • B. Biel/Bienne
    Biel/Bienne is a bilingual (German-French) Swiss city in the canton of Bern, known for its watchmaking industry and location at the eastern end of Lake Biel.
  • C. Basel-Stadt
    Basel-Stadt is a small, urban Swiss canton centered on the city of Basel, a major cultural and economic hub in northwestern Switzerland.
  • D. Neuchâtel
    Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
  • 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: urbanCore
Context triple: [Bern metropolitan area, urbanCore, city of Bern]
  • A. fashionStyle
    Indicates the characteristic way in which an entity dresses or presents themselves in terms of clothing and appearance.
  • B. fashionLabel
    Indicates that an entity is a fashion brand or label associated with the design, production, or marketing of clothing or accessories.
  • C. isUrbanDistrict
    Indicates that a given district is classified as an urban administrative or residential area rather than a rural one.
  • D. isUrbanNeighborhood chosen
    Indicates that a given area functions as a neighborhood located within an urban or city environment.
  • E. urbanSuccessor
    Indicates that one urban area directly follows or replaces another in a temporal or developmental sequence, serving as its successor in an urban 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda4f9d481908dda1b5a826ab64d completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5287b8d548190a929f14637cb9963 completed March 14, 2026, 9:20 a.m.
PD Predicate disambiguation batch_69aee7609c4081908000ce12ae827c3f completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:23 p.m.