Triple

T17657883
Position Surface form Disambiguated ID Type / Status
Subject Hurum E440171 entity
Predicate borderedBy P224 FINISHED
Object Moss (across Oslofjord) 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: Moss (across Oslofjord) | Statement: [Hurum, borderedBy, Moss (across Oslofjord)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moss (across Oslofjord)
Context triple: [Hurum, borderedBy, Moss (across Oslofjord)]
  • A. Moss, Norway chosen
    Moss is a coastal town and municipality in southeastern Norway known for its industrial heritage, ferry connections across the Oslofjord, and scenic beaches and forests.
  • B. Møse
    Møse is a Norwegian surname most notably borne by Erik Møse, a prominent jurist and international judge.
  • C. Bjarg in Midfjord
    Bjarg in Midfjord is a historic Icelandic farmstead in the Miðfjörður region, best known as the birthplace and home of the medieval saga hero Grettir Ásmundarson.
  • D. Møsstrond
    Møsstrond is a small rural settlement in the mountainous municipality of Vinje in Telemark, Norway, known for its lakes, forests, and traditional Norwegian countryside.
  • E. Møysalen
    Møysalen is a prominent mountain in northern Norway known for its rugged alpine scenery and popular hiking routes.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea3b4cc81908eec7032cf221d49 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:28 a.m.