Triple

T16177065
Position Surface form Disambiguated ID Type / Status
Subject Norra Djurgården district E392590 entity
Predicate adjacentTo P224 FINISHED
Object Östermalm district NE NERFINISHED

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: Östermalm district | Statement: [Norra Djurgården district, adjacentTo, Östermalm district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Östermalm district
Context triple: [Norra Djurgården district, adjacentTo, Östermalm district]
  • A. Östermalm chosen
    Östermalm is an affluent central district of Stockholm known for its upscale residential areas, embassies, and high-end shopping and dining.
  • B. Södermalm
    Södermalm is a central island and district of Stockholm known for its vibrant cultural scene, historic architecture, and trendy shops, cafes, and nightlife.
  • C. Norrmalm
    Norrmalm is a central district of Stockholm, Sweden, known for its major commercial areas, cultural venues, and key transport hubs.
  • D. Värtahamnen district
    Värtahamnen district is a waterfront area in northeastern central Stockholm known for its major ferry terminal, port facilities, and ongoing urban redevelopment.
  • 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 (2 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22059e7048190b4592cb1516b5f8d completed April 17, 2026, 11:58 a.m.
Created at: April 10, 2026, 5:02 a.m.