Triple

T21379262
Position Surface form Disambiguated ID Type / Status
Subject Stadshagen E527298 entity
Predicate adjacentTo P224 FINISHED
Object Lindhagen area 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: Lindhagen area | Statement: [Stadshagen, adjacentTo, Lindhagen area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindhagen area
Context triple: [Stadshagen, adjacentTo, Lindhagen area]
  • A. Lindhagen area chosen
    The Lindhagen area is a modern waterfront district in western Stockholm known for its mixed-use developments, offices, and residential buildings.
  • B. Nordstan area
    The Nordstan area is a major commercial district in central Gothenburg, Sweden, best known for its large shopping center and proximity to key transport hubs.
  • C. Söderström area
    The Söderström area is a central waterfront district in Stockholm, Sweden, situated around the Söderström strait between the city’s main islands and traversed by major transport routes.
  • D. Kleivstua area
    The Kleivstua area is a scenic highland viewpoint and recreational spot in Hole, Norway, known for its panoramic views over the surrounding forests, lakes, and hills.
  • E. Falketind area
    The Falketind area is a popular mountainous hiking region in Norway known for its dramatic peaks, glaciers, and challenging alpine routes.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0cc2b5c8190aa5f20f920523fe9 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:11 p.m.