Triple

T15040397
Position Surface form Disambiguated ID Type / Status
Subject Söderort E378584 entity
Predicate hasPart P35 FINISHED
Object Årsta
Årsta is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to both the city center and green recreational areas.
 E1137247 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: Årsta | Statement: [Söderort, hasPart, Årsta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Årsta
Context triple: [Söderort, hasPart, Årsta]
  • A. Åsta
    Åsta is a river in southeastern Norway that serves as a notable tributary to the country’s longest river, the Glomma.
  • B. Åre
    Åre is a well-known ski resort village in northern Sweden, recognized for its alpine skiing and winter sports tourism.
  • C. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • D. Kårsta
    Kårsta is a locality in Vallentuna Municipality, Sweden, known as the northern terminus of Stockholm’s Roslagsbanan narrow-gauge railway line.
  • E. Gnesta
    Gnesta is a small town in Södermanland County, Sweden, known for its lakeside setting and role as a local commercial and transport hub.
  • 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: Årsta
Triple: [Söderort, hasPart, Årsta]
Generated description
Årsta is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to both the city center and green recreational areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Årsta
Target entity description: Årsta is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to both the city center and green recreational areas.
  • A. Åsta
    Åsta is a river in southeastern Norway that serves as a notable tributary to the country’s longest river, the Glomma.
  • B. Åre
    Åre is a well-known ski resort village in northern Sweden, recognized for its alpine skiing and winter sports tourism.
  • C. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • D. Kårsta
    Kårsta is a locality in Vallentuna Municipality, Sweden, known as the northern terminus of Stockholm’s Roslagsbanan narrow-gauge railway line.
  • E. Gnesta
    Gnesta is a small town in Södermanland County, Sweden, known for its lakeside setting and role as a local commercial and transport hub.
  • 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_69feae0be8bc81909e1f9ed31bfd76fb completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feb1cb580c8190800e5b09ef5d7a4c completed May 9, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69feb249743081908c5bc990728fb11c completed May 9, 2026, 4:04 a.m.
Created at: April 10, 2026, 3 a.m.