Triple

T10373924
Position Surface form Disambiguated ID Type / Status
Subject Moss municipality E244452 entity
Predicate hasIsland P970 FINISHED
Object Østre Løkkevikholmen E860788 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: Østre Løkkevikholmen | Statement: [Moss municipality, hasIsland, Østre Løkkevikholmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Østre Løkkevikholmen
Context triple: [Moss municipality, hasIsland, Østre Løkkevikholmen]
  • A. Vestre Løkkevikholmen chosen
    Vestre Løkkevikholmen is a small Norwegian island located within Moss municipality in Viken county, known primarily as part of the coastal archipelago along the Oslofjord.
  • B. Røsholmholmen
    Røsholmholmen is a small island located in Tyrifjorden, a large lake in southeastern Norway.
  • C. Heggholmen
    Heggholmen is a small island in the Oslofjord near Oslo, Norway, known for its coastal scenery and proximity to other islets like Gressholmen.
  • D. Gressholmen
    Gressholmen is a small recreational island near central Oslo, Norway, known for its beaches, nature reserve areas, and former seaplane airport.
  • E. Helgeandsholmen
    Helgeandsholmen is a small central Stockholm islet best known as the site of the Swedish Parliament building and part of the historic city core.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9804e708190b15f5d38cac9c4c1 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb98c52c8190a52682feacc2bd0d completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 12:02 p.m.