Triple

T539902
Position Surface form Disambiguated ID Type / Status
Subject Copenhagen E12606 entity
Predicate historicalName P65 FINISHED
Object Køpmannæhafn
Køpmannæhafn is the historical Danish name for the city now known as Copenhagen, reflecting its origins as a merchant harbor.
 E67490 NE FINISHED

How this triple was built (4 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: Køpmannæhafn | Statement: [Copenhagen, historicalName, Køpmannæhafn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Køpmannæhafn
Context triple: [Copenhagen, historicalName, Køpmannæhafn]
  • A. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • 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. Reykjavík, Iceland
    Reykjavík, Iceland is the capital and largest city of Iceland, known for its vibrant cultural scene, geothermal pools, and role as the country’s political and economic center.
  • D. Narvik
    Narvik is a port town in northern Norway known for its strategic importance during World War II and as the site of major naval and land battles.
  • E. Lübeck
    Lübeck is a historic Hanseatic city in northern Germany renowned for its medieval architecture and long-standing role as a key trading hub on the Baltic Sea.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Køpmannæhafn
Triple: [Copenhagen, historicalName, Køpmannæhafn]
Generated description
Køpmannæhafn is the historical Danish name for the city now known as Copenhagen, reflecting its origins as a merchant harbor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Køpmannæhafn
Target entity description: Køpmannæhafn is the historical Danish name for the city now known as Copenhagen, reflecting its origins as a merchant harbor.
  • A. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • 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. Reykjavík, Iceland
    Reykjavík, Iceland is the capital and largest city of Iceland, known for its vibrant cultural scene, geothermal pools, and role as the country’s political and economic center.
  • D. Narvik
    Narvik is a port town in northern Norway known for its strategic importance during World War II and as the site of major naval and land battles.
  • E. Lübeck
    Lübeck is a historic Hanseatic city in northern Germany renowned for its medieval architecture and long-standing role as a key trading hub on the Baltic Sea.
  • 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_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_69a4c671eaac8190a4bc731a02a5b0e8 completed March 1, 2026, 11:06 p.m.
NEDg Description generation batch_69a4c7f3279c8190b926f831f5371c2e completed March 1, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69a4c88145908190b590b7efde21677c completed March 1, 2026, 11:15 p.m.
Created at: March 1, 2026, 7:32 p.m.