Triple

T17744485
Position Surface form Disambiguated ID Type / Status
Subject Inland Norway University of Applied Sciences E442949 entity
Predicate hasCampus P116 FINISHED
Object Blæstad 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: Blæstad | Statement: [Inland Norway University of Applied Sciences, hasCampus, Blæstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blæstad
Context triple: [Inland Norway University of Applied Sciences, hasCampus, Blæstad]
  • A. Blæstad chosen
    Blæstad is a campus location of Inland Norway University of Applied Sciences, known for its focus on agricultural and environmental studies.
  • 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. Stöllet
    Stöllet is a small locality in central Sweden situated within Torsby Municipality in Värmland County.
  • D. Bolnes
    Bolnes is a neighborhood and former village in the Dutch municipality of Ridderkerk, located in the province of South Holland.
  • E. Bolnes
    Bolnes is a Dutch surname most notably associated with Catharina Bolnes, the wife of painter Johannes Vermeer.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad0c5b481909059bfa868cc4001 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.