Triple

T21775303
Position Surface form Disambiguated ID Type / Status
Subject Nes (Viken) E537555 entity
Predicate hasSettlement P1068 FINISHED
Object Fenstad 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: Fenstad | Statement: [Nes (Viken), hasSettlement, Fenstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fenstad
Context triple: [Nes (Viken), hasSettlement, Fenstad]
  • A. Fenstad chosen
    Fenstad is a village in Nes municipality in Akershus, Norway.
  • B. Fjeldstad
    Fjeldstad is a Norwegian surname most notably associated with conductor and violinist Øivin Fjeldstad.
  • C. Gangstad
    Gangstad is a small settlement located within the municipality of Inderøy in Trøndelag county, Norway.
  • D. Finnentrop
    Finnentrop is a municipality in western Germany known for its location in the Sauerland region of North Rhine-Westphalia and its mix of rural landscapes and industrial activity.
  • E. Blakstad
    Blakstad is a village in Agder county, Norway, known as the main local hub for services and administration in the surrounding Froland area.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04627bd488190bbc1fde8db417b55 completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:51 p.m.