Triple

T20496509
Position Surface form Disambiguated ID Type / Status
Subject Källtorpssjön E502887 entity
Predicate nearbySettlement P350 FINISHED
Object Hammarbyhöjden 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: Hammarbyhöjden | Statement: [Källtorpssjön, nearbySettlement, Hammarbyhöjden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hammarbyhöjden
Context triple: [Källtorpssjön, nearbySettlement, Hammarbyhöjden]
  • A. Hammarbyhöjden chosen
    Hammarbyhöjden is a residential district in southern Stockholm, Sweden, known for its 1930s functionalist architecture and proximity to green areas and the inner city.
  • B. Hammarbyleden
    Hammarbyleden is a shipping canal and fairway in Stockholm that connects Lake Mälaren with the Baltic Sea, facilitating maritime traffic through the city.
  • C. Gullmarsplan
    Gullmarsplan is a major public transport hub and metro station in southern Stockholm, serving as a key connection point between multiple subway lines and bus routes.
  • D. Hammarby Sjöstad
    Hammarby Sjöstad is a modern, sustainably planned waterfront district in Stockholm known for its eco-friendly architecture and urban design.
  • E. Lilla Nygatan
    Lilla Nygatan is a historic street in Stockholm’s Old Town (Gamla stan), known for its preserved medieval character and traditional urban streetscape.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbdeb9c819090a30a7961146c93 completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.