Triple

T8437279
Position Surface form Disambiguated ID Type / Status
Subject Tureberg E199258 entity
Predicate contains P35 FINISHED
Object Sollentuna police station E178401 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: Sollentuna police station | Statement: [Tureberg, contains, Sollentuna police station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sollentuna police station
Context triple: [Tureberg, contains, Sollentuna police station]
  • A. Sollentuna Centrum
    Sollentuna Centrum is a major shopping mall and commercial hub located in the suburb of Sollentuna, just north of Stockholm, Sweden.
  • B. Sollentuna Municipality
    Sollentuna Municipality is a suburban municipality in east-central Sweden that forms part of the Stockholm urban area and serves as a residential and commercial hub just north of central Stockholm.
  • C. Tjuvholmen
    Tjuvholmen is a modern waterfront district in central Oslo known for its contemporary architecture, art galleries, and seaside promenade.
  • D. Sollentuna chosen
    Sollentuna is a suburban town in Stockholm County, Sweden, known as part of the Stockholm urban area and a residential and commercial hub just north of the capital.
  • E. Nynäshamn Station
    Nynäshamn Station is a key terminus on Stockholm’s commuter rail network serving the coastal town and its ferry connections in southern Stockholm County.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe13446788190ad52a4fd6e8b498a completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d7d19608190ad3160fc00f8d4b0 completed April 2, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:08 p.m.