Triple

T5338366
Position Surface form Disambiguated ID Type / Status
Subject Barkarby E123880 entity
Predicate near P350 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: [Barkarby, near, Jakobsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jakobsberg
Context triple: [Barkarby, near, 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. Gustavsberg
    Gustavsberg is a locality in Sweden best known for its historic porcelain factory and role as a suburban community in the Stockholm archipelago.
  • C. Mariaberget
    Mariaberget is a historic, picturesque area on the western side of Södermalm in central Stockholm, known for its well-preserved old buildings and panoramic views over the city and Lake Mälaren.
  • D. Köterberg
    Köterberg is a prominent hill in northern Germany known for its panoramic views and popularity among hikers and motorcyclists.
  • E. Valberg
    Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85c8415c819099a0b26e07360f01 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18c54ca4819095ca1d81ee061937 completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2 p.m.