Triple

T15040423
Position Surface form Disambiguated ID Type / Status
Subject Söderort E378584 entity
Predicate hasPart P35 FINISHED
Object Solberga
Solberga is a residential district in southern Stockholm, Sweden, known for its mid-20th-century housing and green areas.
E1138041 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: Solberga | Statement: [Söderort, hasPart, Solberga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solberga
Context triple: [Söderort, hasPart, Solberga]
  • A. Stetind
    Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
  • B. Silfverberg
    Silfverberg is a Swedish surname most notably associated with professional ice hockey player Jakob Silfverberg.
  • C. Valberg
    Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
  • D. Valberg
    Valberg is a small coastal village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • E. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • 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: Solberga
Triple: [Söderort, hasPart, Solberga]
Generated description
Solberga is a residential district in southern Stockholm, Sweden, known for its mid-20th-century housing and green areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Solberga
Target entity description: Solberga is a residential district in southern Stockholm, Sweden, known for its mid-20th-century housing and green areas.
  • A. Stetind
    Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
  • B. Silfverberg
    Silfverberg is a Swedish surname most notably associated with professional ice hockey player Jakob Silfverberg.
  • C. Valberg
    Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
  • D. Valberg
    Valberg is a small coastal village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • E. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82e79a481908ddb9609af8c4407 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69feb7db6f0081909ab35435c1e4ad13 completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69feb945ec7481909f4bfbf628985af8 completed May 9, 2026, 4:34 a.m.
NED2 Entity disambiguation (via description) batch_69feb9a010ec819087df75319550cc88 completed May 9, 2026, 4:35 a.m.
Created at: April 10, 2026, 3 a.m.