Triple

T349954
Position Surface form Disambiguated ID Type / Status
Subject Hamburg E7419 entity
Predicate hasPort P35 FINISHED
Object Port of Hamburg
The Port of Hamburg is Germany’s largest seaport and a major European logistics hub, known as the country’s “Gateway to the World.”
 E50057 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: Port of Hamburg | Statement: [Hamburg, hasPort, Port of Hamburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Port of Hamburg
Context triple: [Hamburg, hasPort, Port of Hamburg]
  • A. Hamburg
    Hamburg is Germany’s second-largest city and a major northern European port and cultural center on the River Elbe.
  • B. Port of Antwerp
    The Port of Antwerp is one of Europe’s largest and busiest seaports, serving as a key international hub for maritime trade, logistics, and industry in Belgium.
  • C. Port of Amsterdam
    The Port of Amsterdam is one of Europe’s largest seaports and a major hub for maritime trade, logistics, and industry in the Netherlands.
  • D. Duisburg
    Duisburg is a major industrial and port city in western Germany’s Ruhr region, known for its steel production and one of the world’s largest inland harbors.
  • E. Port of Paris
    The Port of Paris is a major inland port complex in the Île-de-France region that handles river traffic, logistics, and tourism along the Seine and its connected waterways.
  • 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: Port of Hamburg
Triple: [Hamburg, hasPort, Port of Hamburg]
Generated description
The Port of Hamburg is Germany’s largest seaport and a major European logistics hub, known as the country’s “Gateway to the World.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Port of Hamburg
Target entity description: The Port of Hamburg is Germany’s largest seaport and a major European logistics hub, known as the country’s “Gateway to the World.”
  • A. Hamburg
    Hamburg is Germany’s second-largest city and a major northern European port and cultural center on the River Elbe.
  • B. Port of Antwerp
    The Port of Antwerp is one of Europe’s largest and busiest seaports, serving as a key international hub for maritime trade, logistics, and industry in Belgium.
  • C. Port of Amsterdam
    The Port of Amsterdam is one of Europe’s largest seaports and a major hub for maritime trade, logistics, and industry in the Netherlands.
  • D. Duisburg
    Duisburg is a major industrial and port city in western Germany’s Ruhr region, known for its steel production and one of the world’s largest inland harbors.
  • E. Port of Paris
    The Port of Paris is a major inland port complex in the Île-de-France region that handles river traffic, logistics, and tourism along the Seine and its connected waterways.
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eb1f028c819098fa6480b4ca5cf0 completed Feb. 28, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a405f0fd548190bd4d2ed1ddf7dff0 completed March 1, 2026, 9:25 a.m.
NEDg Description generation batch_69a4076128788190ad1e3bf45a150bd4 completed March 1, 2026, 9:31 a.m.
NED2 Entity disambiguation (via description) batch_69a409a0bf2881909140c95b59be5c85 completed March 1, 2026, 9:40 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.