Triple

T13171357
Position Surface form Disambiguated ID Type / Status
Subject Vasastan E312981 entity
Predicate hasGreenSpace P1495 FINISHED
Object Vasaparken E1025587 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: Vasaparken | Statement: [Vasastan, hasGreenSpace, Vasaparken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasaparken
Context triple: [Vasastan, hasGreenSpace, Vasaparken]
  • A. Vasaparken chosen
    Vasaparken is a popular urban park in central Stockholm known for its open green spaces, playgrounds, and recreational areas.
  • B. 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.
  • C. Sibelius Park
    Sibelius Park is a popular Helsinki park best known for its striking Sibelius Monument dedicated to Finnish composer Jean Sibelius.
  • D. Töölönlahti Park
    Töölönlahti Park is a central waterfront green space in Helsinki known for its walking paths, cultural landmarks, and views around Töölö Bay.
  • E. Viikki green area
    Viikki green area is a large natural and recreational landscape in Helsinki known for its fields, wetlands, and bird-rich conservation areas surrounding the Viikki 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2f22b881908a0af3af0a0af971 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5e5eacc8190ae39dcdb12c9b563 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:13 p.m.