Triple

T15955190
Position Surface form Disambiguated ID Type / Status
Subject Birger Jarlsgatan E386915 entity
Predicate passesThrough P225 FINISHED
Object Östermalm district E78138 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: Östermalm district | Statement: [Birger Jarlsgatan, passesThrough, Östermalm district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Östermalm district
Context triple: [Birger Jarlsgatan, passesThrough, 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 (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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156f94b108190905d295c3405860e completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fb168548190afb975ef60fa5f3e completed May 11, 2026, 4:48 a.m.
Created at: April 10, 2026, 4:53 a.m.