Triple

T539904
Position Surface form Disambiguated ID Type / Status
Subject Copenhagen E12606 entity
Predicate nameInDanish P5200 FINISHED
Object København E12606 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: København | Statement: [Copenhagen, nameInDanish, København]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: København
Context triple: [Copenhagen, nameInDanish, København]
  • 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. Herning
    Herning is a Danish city in the Central Jutland region known for its trade fairs, conference facilities, and vibrant cultural and sports events.
  • C. Oslo
    Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
  • D. Gothenburg
    Gothenburg is Sweden’s second-largest city, a major port on the country’s west coast known for its maritime heritage, universities, and vibrant cultural scene.
  • E. Stockholm
    Stockholm is the capital city of Sweden, renowned for its historic architecture, cultural institutions, and role as a major political, economic, and scientific center in Scandinavia.
  • 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: nameInDanish
Context triple: [Copenhagen, nameInDanish, København]
  • A. officialNameInDanish chosen
    Indicates the officially recognized name of an entity when expressed in the Danish language.
  • B. nameInSwedish
    Indicates that an entity is known or referred to by a particular name when expressed in the Swedish language.
  • C. nameOf
    Indicates that one entity is the name or designation of another entity.
  • D. nameInFrench
    Indicates that an entity is known or referred to by a specific name expressed in the French language.
  • E. hasNameInDutch
    Indicates that an entity is associated with a specific name or label expressed in the Dutch language.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4985e51908190a34aa82ea9dbee1e completed March 1, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc5d690881908742b313f28a0012 completed March 1, 2026, 11:31 p.m.
PD Predicate disambiguation batch_69a494b67c308190a1a225ab7c4b74c6 completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.