Triple

T21769015
Position Surface form Disambiguated ID Type / Status
Subject Fisksätra Folkets Hus E537372 entity
Predicate locatedIn P40 FINISHED
Object Fisksätra 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: Fisksätra | Statement: [Fisksätra Folkets Hus, locatedIn, Fisksätra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fisksätra
Context triple: [Fisksätra Folkets Hus, locatedIn, Fisksätra]
  • A. Fisksätra chosen
    Fisksätra is a densely populated residential district and suburb of Stockholm, Sweden, known for its multicultural community and modern apartment blocks.
  • B. Fagersjö
    Fagersjö is a residential district in southern Stockholm, Sweden, known for its proximity to lakes and green areas.
  • C. Kungsbacka
    Kungsbacka is a town in southwestern Sweden known for its coastal location, historic wooden center, and role as a commuter hub for nearby Gothenburg.
  • D. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • E. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031ac10808190837a0f69c4f8a02d completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.