Triple

T13084791
Position Surface form Disambiguated ID Type / Status
Subject Hornbergs strand E310302 entity
Predicate partOf P40 FINISHED
Object Kungsholmen district E78688 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: Kungsholmen district | Statement: [Hornbergs strand, partOf, Kungsholmen district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kungsholmen district
Context triple: [Hornbergs strand, partOf, Kungsholmen district]
  • A. Kungsholmen chosen
    Kungsholmen is a central island and district of Stockholm known for its waterfront promenades, residential areas, and the iconic Stockholm City Hall.
  • 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. Norra Djurgården district
    Norra Djurgården district is a largely green, university- and park-dominated area in northeastern central Stockholm that includes parts of the Royal National City Park and Stockholm University’s main campus.
  • D. Norrmalm
    Norrmalm is a central district of Stockholm, Sweden, known for its major commercial areas, cultural venues, and key transport hubs.
  • E. Östermalm
    Östermalm is an affluent central district of Stockholm known for its upscale residential areas, embassies, and high-end shopping and dining.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f7696f0819094825b158e1e9a8c completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:02 p.m.