Triple

T16262746
Position Surface form Disambiguated ID Type / Status
Subject Follo region E394793 entity
Predicate containsTown P847 FINISHED
Object Drøbak 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: Drøbak | Statement: [Follo region, containsTown, Drøbak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drøbak
Context triple: [Follo region, containsTown, Drøbak]
  • A. Drøbak chosen
    Drøbak is a coastal town in southeastern Norway known for its historic harbor, charming wooden houses, and role as a gateway to the Oslofjord.
  • B. Bjørvika
    Bjørvika is a waterfront neighborhood in central Oslo, Norway, known for its modern architecture and cultural institutions such as the Munch Museum and the Oslo Opera House.
  • C. Sørkjosen
    Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
  • D. Fetsund
    Fetsund is a village in Lillestrøm Municipality in Viken county, Norway, known for its riverside location and historic timber floating facilities along the Glomma River.
  • E. Sandnessjøen
    Sandnessjøen is a coastal town in northern Norway known as a regional hub for the Helgeland area, with strong ties to maritime industries and access to the surrounding archipelago and mountains.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c5583c8190901e892238cf8dbd completed April 17, 2026, 2:37 p.m.
Created at: April 10, 2026, 5:04 a.m.