Triple

T18632732
Position Surface form Disambiguated ID Type / Status
Subject Swan chair E455462 entity
Predicate locatedInDesignContext P115298 FINISHED
Object Copenhagen NE NERFINISHED

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: Copenhagen | Statement: [Swan chair, locatedInDesignContext, Copenhagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copenhagen
Context triple: [Swan chair, locatedInDesignContext, Copenhagen]
  • A. Copenhagen chosen
    Copenhagen is the capital and largest city of Denmark, known for its historic architecture, vibrant cultural scene, and high quality of life.
  • B. Copenhagen
    Copenhagen is a popular American smokeless tobacco (chewing tobacco/dip) brand known for its long history and strong presence in the U.S. market.
  • C. Odense
    Odense is a historic Danish city on the island of Funen, best known as the birthplace of fairy-tale author Hans Christian Andersen and a cultural hub with museums, festivals, and a vibrant literary heritage.
  • D. Hankø
    Hankø is a small Norwegian island and resort area known for its sailing, summer tourism, and scenic coastal landscapes.
  • E. Helsinge
    Helsinge is a town in North Zealand, Denmark, known as a local commercial and transport hub connected by rail to nearby cities including Hillerød.
  • 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: locatedInDesignContext
Context triple: [Swan chair, locatedInDesignContext, Copenhagen]
  • A. hasDesignContext chosen
    Indicates that something is associated with, or defined within, a particular design context or design environment.
  • B. designLocation
    Indicates the place or setting where something is conceived, planned, or designed.
  • C. locatedIn
    Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
  • D. appearsInContextWith
    Indicates that two entities are observed or used together within the same situational, textual, or usage context.
  • E. namedInContextOf
    Indicates that an entity is mentioned or identified specifically within a particular context, situation, or frame of reference.
  • F. None of above.

Provenance (3 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc5c7ec8190ab0c64f009583f96 completed April 19, 2026, 9:57 p.m.
PD Predicate disambiguation batch_69e478d4a7948190a4bb9223bb5dddfc completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:46 a.m.