Triple

T1060581
Position Surface form Disambiguated ID Type / Status
Subject Järfälla Municipality E22897 entity
Predicate seat P75 FINISHED
Object Jakobsberg E123879 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: Jakobsberg | Statement: [Järfälla Municipality, seat, Jakobsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jakobsberg
Context triple: [Järfälla Municipality, seat, Jakobsberg]
  • A. Jakobsberg chosen
    Jakobsberg is a major suburban district and commercial center in the Stockholm metropolitan area, serving as the administrative seat of Järfälla Municipality in Sweden.
  • B. Sankt Andreasberg
    Sankt Andreasberg is a historic former mining town and popular mountain resort in the Upper Harz region of central Germany.
  • C. Bergshamra
    Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
  • D. Brandbergen
    Brandbergen is a residential district and suburb located within Haninge Municipality in the Stockholm County region of Sweden.
  • E. Lysgårdsbakken
    Lysgårdsbakken is a large ski jumping hill complex in Lillehammer, Norway, best known for hosting the ski jumping events of the 1994 Winter Olympics.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f3f98c819096338198d9f30491 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c1d82c88190b418e2e2f050b563 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:42 p.m.