Triple

T22402022
Position Surface form Disambiguated ID Type / Status
Subject Varberg E553783 entity
Predicate hasBeach P1922 FINISHED
Object Getterön
Getterön is a popular coastal nature reserve and beach area near Varberg on Sweden’s west coast, known for its birdlife, rocky shores, and sandy bathing spots.
 E1534388 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: Getterön | Statement: [Varberg, hasBeach, Getterön]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Getterön
Context triple: [Varberg, hasBeach, Getterön]
  • A. Langgöns
    Langgöns is a municipality in the German state of Hesse, located in the central part of the country.
  • B. Grossgrunden
    Grossgrunden is one of the islands in the Holmön archipelago off the coast of northern Sweden in the Gulf of Bothnia.
  • C. Gärdet
    Gärdet is a large open parkland and residential area in central Stockholm, known for its green spaces, outdoor activities, and functionalist-era architecture.
  • D. Gaten
    Gaten is the first name of Gaten Matarazzo, an American actor best known for his role as Dustin Henderson on the Netflix series "Stranger Things."
  • E. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • 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: Getterön
Triple: [Varberg, hasBeach, Getterön]
Generated description
Getterön is a popular coastal nature reserve and beach area near Varberg on Sweden’s west coast, known for its birdlife, rocky shores, and sandy bathing spots.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Getterön
Target entity description: Getterön is a popular coastal nature reserve and beach area near Varberg on Sweden’s west coast, known for its birdlife, rocky shores, and sandy bathing spots.
  • A. Langgöns
    Langgöns is a municipality in the German state of Hesse, located in the central part of the country.
  • B. Grossgrunden
    Grossgrunden is one of the islands in the Holmön archipelago off the coast of northern Sweden in the Gulf of Bothnia.
  • C. Gärdet
    Gärdet is a large open parkland and residential area in central Stockholm, known for its green spaces, outdoor activities, and functionalist-era architecture.
  • D. Gaten
    Gaten is the first name of Gaten Matarazzo, an American actor best known for his role as Dustin Henderson on the Netflix series "Stranger Things."
  • E. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b4a96c8190838f5dda21c4d853 completed April 29, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae9cd35648190a37c9814c581749e completed May 18, 2026, 10:28 a.m.
NEDg Description generation batch_6a0aea9aad5c81908fca5ea2b594effb completed May 18, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0aeb4ce6d48190ac9281afb7b43391 completed May 18, 2026, 10:34 a.m.
Created at: April 16, 2026, 8:46 p.m.