Triple

T13084782
Position Surface form Disambiguated ID Type / Status
Subject Norr Mälarstrand E310301 entity
Predicate adjacentTo P224 FINISHED
Object Rålambshovsparken E310299 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: Rålambshovsparken | Statement: [Norr Mälarstrand, adjacentTo, Rålambshovsparken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rålambshovsparken
Context triple: [Norr Mälarstrand, adjacentTo, Rålambshovsparken]
  • A. Rålambshovsparken chosen
    Rålambshovsparken is a large, popular waterfront park in central Stockholm known for its open lawns, recreational facilities, and views over Riddarfjärden.
  • B. Frederiksberg Gardens
    Frederiksberg Gardens is a large, picturesque 18th-century public park in Copenhagen known for its romantic landscaping, lakes, and proximity to Frederiksberg Palace and the Copenhagen Zoo.
  • C. Fridegårdsparken
    Fridegårdsparken is a public park in the town of Enköping, Sweden, known for its landscaped green spaces and recreational areas.
  • D. Bjørneparken
    Bjørneparken is a Norwegian wildlife and family adventure park known for its bears and other native animals, located in the municipality of Flå.
  • E. Sofienbergparken
    Sofienbergparken is a popular urban park in Oslo, Norway, known for its large green lawns, recreational areas, and role as a central gathering spot in the Grünerløkka district.
  • 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_69f6e272629c8190926dbc9df447b6c4 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:02 p.m.