Triple

T15947901
Position Surface form Disambiguated ID Type / Status
Subject Ullensvang Municipality E386733 entity
Predicate contains P35 FINISHED
Object Jondal E1132279 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: Jondal | Statement: [Ullensvang Municipality, contains, Jondal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jondal
Context triple: [Ullensvang Municipality, contains, Jondal]
  • A. Jondal chosen
    Jondal is a small village and former municipality in Vestland county, Norway, known as a gateway to the Folgefonna glacier and surrounding fjord landscape.
  • B. Gröndal
    Gröndal is a residential district in southern Stockholm, Sweden, known for its waterfront location on Lake Mälaren and mix of early 20th-century and modern architecture.
  • C. Ulsrud
    Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
  • D. Bjorli
    Bjorli is a Norwegian village known for its ski resort and scenic mountain surroundings in Innlandet county.
  • E. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d2fda8819085279d2a0f8a02ab completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe76df6481909f8246099faa377a completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.