Triple

T9764655
Position Surface form Disambiguated ID Type / Status
Subject Söderhamn Municipality E236754 entity
Predicate containsSettlement P847 FINISHED
Object Skog
Skog is a small locality in Gävleborg County, Sweden, situated within Söderhamn Municipality.
 E820341 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: Skog | Statement: [Söderhamn Municipality, containsSettlement, Skog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skog
Context triple: [Söderhamn Municipality, containsSettlement, Skog]
  • A. Skogås
    Skogås is a suburban district in the southern Stockholm area of Sweden, known primarily as a residential community with good commuter connections to central Stockholm.
  • B. Skogsön
    Skogsön is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its natural coastal landscapes and holiday homes.
  • C. Trollskogen
    Trollskogen is a coastal nature reserve and windswept pine forest on the island of Öland in Sweden, known for its twisted trees, ancient remains, and scenic hiking trails.
  • D. Kluuvi
    Kluuvi is a central district of Helsinki, Finland, known as the city’s main commercial and business hub.
  • E. Grossgrunden
    Grossgrunden is one of the islands in the Holmön archipelago off the coast of northern Sweden in the Gulf of Bothnia.
  • 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: Skog
Triple: [Söderhamn Municipality, containsSettlement, Skog]
Generated description
Skog is a small locality in Gävleborg County, Sweden, situated within Söderhamn Municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skog
Target entity description: Skog is a small locality in Gävleborg County, Sweden, situated within Söderhamn Municipality.
  • A. Skogås
    Skogås is a suburban district in the southern Stockholm area of Sweden, known primarily as a residential community with good commuter connections to central Stockholm.
  • B. Skogsön
    Skogsön is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its natural coastal landscapes and holiday homes.
  • C. Trollskogen
    Trollskogen is a coastal nature reserve and windswept pine forest on the island of Öland in Sweden, known for its twisted trees, ancient remains, and scenic hiking trails.
  • D. Kluuvi
    Kluuvi is a central district of Helsinki, Finland, known as the city’s main commercial and business hub.
  • E. Grossgrunden
    Grossgrunden is one of the islands in the Holmön archipelago off the coast of northern Sweden in the Gulf of Bothnia.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda09ed54c8190a5879e14184cddf4 completed April 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcf2cdd08190a051d406e199f45a completed April 5, 2026, 1:37 a.m.
NEDg Description generation batch_69d1bdfc07648190badacd2f6257601c completed April 5, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_69d1beb700288190a94b730f2cc353d1 completed April 5, 2026, 1:45 a.m.
Created at: March 30, 2026, 8:25 p.m.