Triple

T15073643
Position Surface form Disambiguated ID Type / Status
Subject Tekniska högskolan metro station E379942 entity
Predicate serves P98 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: [Tekniska högskolan metro station, serves, Östermalm district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Östermalm district
Context triple: [Tekniska högskolan metro station, serves, 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. Hammarby Sjöstad
    Hammarby Sjöstad is a modern, sustainably planned waterfront district in Stockholm known for its eco-friendly architecture and urban design.
  • E. Kungsholmen
    Kungsholmen is a central island and district of Stockholm known for its waterfront promenades, residential areas, and the iconic Stockholm City Hall.
  • 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_6a002d92c9788190aa4523a1e47bc561 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 3:02 a.m.