Triple

T20018761
Position Surface form Disambiguated ID Type / Status
Subject Rissa (former municipality) E494791 entity
Predicate contains P35 FINISHED
Object Hasselvika 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: Hasselvika | Statement: [Rissa (former municipality), contains, Hasselvika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hasselvika
Context triple: [Rissa (former municipality), contains, Hasselvika]
  • A. Hasselvika chosen
    Hasselvika is a small coastal village in the former Agdenes municipality in Trøndelag county, central Norway.
  • B. Håkvik
    Håkvik is a small settlement in northern Norway, located within Narvik Municipality in Nordland county.
  • C. Skogvika
    Skogvika is a small coastal settlement on the island of Rebbenesøya in northern Norway.
  • D. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • E. Gressvik
    Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623e40748190b1abb0ead9acab4e completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.