Triple

T20202745
Position Surface form Disambiguated ID Type / Status
Subject Haga Copper Tents E493265 entity
Predicate locatedIn P40 FINISHED
Object Hagaparken 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: Hagaparken | Statement: [Haga Copper Tents, locatedIn, Hagaparken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hagaparken
Context triple: [Haga Copper Tents, locatedIn, Hagaparken]
  • A. Hagaparken chosen
    Hagaparken is a large historic park in Solna just north of Stockholm, Sweden, known for its English landscape design, royal pavilions, and recreational green spaces.
  • B. Kungsparken
    Kungsparken is a historic and centrally located public park in Malmö, Sweden, known for its lush greenery, canals, and 19th-century landscape design.
  • C. Grugapark
    Grugapark is a large public park and botanical garden in Essen, Germany, known for its extensive green spaces, themed gardens, and recreational facilities.
  • D. Marabouparken
    Marabouparken is a renowned public park and sculpture garden in Sundbyberg, Sweden, known for its modernist landscape design and outdoor art.
  • E. Kronobergsparken
    Kronobergsparken is a large, hilly public park in the Kungsholmen district of central Stockholm, known for its green spaces, playgrounds, and views over the city.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8ec73c8190b630599c5ceb22ac completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:37 p.m.