Triple

T4916956
Position Surface form Disambiguated ID Type / Status
Subject Lilla Värtan E110372 entity
Predicate connectsTo P845 FINISHED
Object Värtahamnen
Värtahamnen is a major port and harbor area in Stockholm, Sweden, serving as an important hub for ferry, cargo, and cruise traffic in the Baltic Sea region.
 E503245 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: Värtahamnen | Statement: [Lilla Värtan, connectsTo, Värtahamnen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Värtahamnen
Context triple: [Lilla Värtan, connectsTo, Värtahamnen]
  • A. Vaxholm
    Vaxholm is a small coastal town and municipality in the Stockholm archipelago of eastern Sweden, known for its historic fortress and picturesque waterfront.
  • B. Värmdö
    Värmdö is a large island and municipality in the Stockholm archipelago of Sweden, known for its coastal landscapes, holiday homes, and proximity to Stockholm.
  • C. Storholmen
    Storholmen is an island located in Lake Femunden, one of Norway’s largest inland lakes.
  • D. Lindholmen
    Lindholmen is a waterfront district in Gothenburg, Sweden, known as a major hub for education, research, and technology companies.
  • E. Lindholmen
    Lindholmen is a small locality in Vallentuna Municipality in Stockholm County, Sweden, known for its residential character and proximity to natural and historical sites.
  • 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: Värtahamnen
Triple: [Lilla Värtan, connectsTo, Värtahamnen]
Generated description
Värtahamnen is a major port and harbor area in Stockholm, Sweden, serving as an important hub for ferry, cargo, and cruise traffic in the Baltic Sea region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Värtahamnen
Target entity description: Värtahamnen is a major port and harbor area in Stockholm, Sweden, serving as an important hub for ferry, cargo, and cruise traffic in the Baltic Sea region.
  • A. Vaxholm
    Vaxholm is a small coastal town and municipality in the Stockholm archipelago of eastern Sweden, known for its historic fortress and picturesque waterfront.
  • B. Värmdö
    Värmdö is a large island and municipality in the Stockholm archipelago of Sweden, known for its coastal landscapes, holiday homes, and proximity to Stockholm.
  • C. Storholmen
    Storholmen is an island located in Lake Femunden, one of Norway’s largest inland lakes.
  • D. Lindholmen
    Lindholmen is a waterfront district in Gothenburg, Sweden, known as a major hub for education, research, and technology companies.
  • E. Lindholmen
    Lindholmen is a small locality in Vallentuna Municipality in Stockholm County, Sweden, known for its residential character and proximity to natural and historical sites.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6fa559608190aa8d02b1547b8f97 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69beef8be078819094cbf65b0fcdf8dd completed March 21, 2026, 7:20 p.m.
NEDg Description generation batch_69bef00f10d481908ba19105b6bc07d1 completed March 21, 2026, 7:22 p.m.
NED2 Entity disambiguation (via description) batch_69bef07730488190825c4e29910fc707 completed March 21, 2026, 7:24 p.m.
Created at: March 20, 2026, 1:29 p.m.