Triple

T15040387
Position Surface form Disambiguated ID Type / Status
Subject Söderort E378584 entity
Predicate hasPart P35 FINISHED
Object Enskede-Årsta-Vantör
Enskede-Årsta-Vantör is a borough in southern Stockholm, Sweden, comprising several residential districts and suburban areas.
 E1132929 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: Enskede-Årsta-Vantör | Statement: [Söderort, hasPart, Enskede-Årsta-Vantör]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Enskede-Årsta-Vantör
Context triple: [Söderort, hasPart, Enskede-Årsta-Vantör]
  • A. Såtenäs
    Såtenäs is a locality in western Sweden best known as a major Swedish Air Force base and home of the F 7 Wing.
  • B. Vingåker
    Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
  • C. Sollerön
    Sollerön is the largest island in Lake Siljan in central Sweden, known for its traditional Dalarna culture and scenic rural landscapes.
  • D. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • E. Jädraås
    Jädraås is a small village in central Sweden known for its forested surroundings and historic narrow-gauge railway.
  • 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: Enskede-Årsta-Vantör
Triple: [Söderort, hasPart, Enskede-Årsta-Vantör]
Generated description
Enskede-Årsta-Vantör is a borough in southern Stockholm, Sweden, comprising several residential districts and suburban areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Enskede-Årsta-Vantör
Target entity description: Enskede-Årsta-Vantör is a borough in southern Stockholm, Sweden, comprising several residential districts and suburban areas.
  • A. Såtenäs
    Såtenäs is a locality in western Sweden best known as a major Swedish Air Force base and home of the F 7 Wing.
  • B. Vingåker
    Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
  • C. Sollerön
    Sollerön is the largest island in Lake Siljan in central Sweden, known for its traditional Dalarna culture and scenic rural landscapes.
  • D. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • E. Jädraås
    Jädraås is a small village in central Sweden known for its forested surroundings and historic narrow-gauge railway.
  • 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_69fe9de388508190bb0ecc04740cbe15 completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fe9f2b71808190b961193ae1ddebf0 completed May 9, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69fe9fa89bd481909235d2ec377a0d8e completed May 9, 2026, 2:44 a.m.
Created at: April 10, 2026, 3 a.m.