Triple

T3441742
Position Surface form Disambiguated ID Type / Status
Subject Dalarna E72579 entity
Predicate contains P35 FINISHED
Object Rättvik
Rättvik is a small town in central Sweden known for its traditional Swedish culture, lakeside setting on Lake Siljan, and historic wooden pier.
E356510 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: Rättvik | Statement: [Dalarna, contains, Rättvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rättvik
Context triple: [Dalarna, contains, Rättvik]
  • A. Veckring
    Veckring is a small commune in northeastern France, notable for its proximity to the major Maginot Line fortification of Hackenberg.
  • B. Rycken
    Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
  • C. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • D. The Wikman Boys
    The Wikman Boys is a semi-autobiographical novel by Estonian writer Jaan Kross that follows a group of schoolboys coming of age amid the political upheavals of early 20th-century Estonia.
  • E. Vahka
    Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
  • 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: Rättvik
Triple: [Dalarna, contains, Rättvik]
Generated description
Rättvik is a small town in central Sweden known for its traditional Swedish culture, lakeside setting on Lake Siljan, and historic wooden pier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rättvik
Target entity description: Rättvik is a small town in central Sweden known for its traditional Swedish culture, lakeside setting on Lake Siljan, and historic wooden pier.
  • A. Veckring
    Veckring is a small commune in northeastern France, notable for its proximity to the major Maginot Line fortification of Hackenberg.
  • B. Rycken
    Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
  • C. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • D. The Wikman Boys
    The Wikman Boys is a semi-autobiographical novel by Estonian writer Jaan Kross that follows a group of schoolboys coming of age amid the political upheavals of early 20th-century Estonia.
  • E. Vahka
    Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba276b708190949f294a8d09ec7b completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3548598088190907e13c88cb975fc completed March 13, 2026, 12:04 a.m.
NEDg Description generation batch_69b355a8da148190896dacf746630445 completed March 13, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b3561132888190b0439cd3d8e7bf96 completed March 13, 2026, 12:10 a.m.
Created at: March 8, 2026, 3:16 p.m.