Triple

T5200862
Position Surface form Disambiguated ID Type / Status
Subject Nackareservatet E117388 entity
Predicate hasRecreationArea P5383 FINISHED
Object Hellasgården E117389 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: Hellasgården | Statement: [Nackareservatet, hasRecreationArea, Hellasgården]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellasgården
Context triple: [Nackareservatet, hasRecreationArea, Hellasgården]
  • A. Hellasgården chosen
    Hellasgården is a popular outdoor recreation area near Stockholm known for its forests, lakes, hiking trails, and traditional Swedish saunas.
  • B. Gärdet
    Gärdet is a large open parkland and residential area in central Stockholm, known for its green spaces, outdoor activities, and functionalist-era architecture.
  • C. Humlegården
    Humlegården is a large historic park in central Stockholm known for its green spaces, walking paths, and recreational areas.
  • D. Hallunda
    Hallunda is a residential suburban district in the southern Stockholm region of Sweden, known for its multicultural population and location within Botkyrka Municipality.
  • E. Heden
    Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a228e2c81908bfbd48ed9f2cd5e completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefc60abc8190a0abcaf8b42dfe3d completed March 21, 2026, 7:21 p.m.
Created at: March 20, 2026, 1:47 p.m.