Triple

T15074383
Position Surface form Disambiguated ID Type / Status
Subject Alvik E379961 entity
Predicate partOf P40 FINISHED
Object Bromma borough E468914 NE FINISHED

How this triple was built (2 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: Bromma borough | Statement: [Alvik, partOf, Bromma borough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bromma borough
Context triple: [Alvik, partOf, Bromma borough]
  • A. Bromma chosen
    Bromma is a suburban district in western Stockholm, Sweden, known for its residential areas, green spaces, and the city’s secondary airport.
  • B. Solna Municipality
    Solna Municipality is an urban municipality in the Stockholm metropolitan area of Sweden, known for hosting major institutions such as Friends Arena and the Karolinska Institute.
  • C. Huddinge Municipality
    Huddinge Municipality is a large suburban municipality south of central Stockholm in Sweden, known for its mix of residential areas, nature reserves, and educational institutions.
  • D. Danderyd Municipality
    Danderyd Municipality is a small, affluent suburban municipality in the Stockholm metropolitan area of Sweden, known for its high standard of living and residential character.
  • E. Hammarby Sjöstad
    Hammarby Sjöstad is a modern, sustainably planned waterfront district in Stockholm known for its eco-friendly architecture and urban design.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fa0570819088a97b28173154cd completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfdc8f64819083c7e3510e671b9a completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:02 a.m.