Triple

T4843395
Position Surface form Disambiguated ID Type / Status
Subject Moss, Norway E108229 entity
Predicate administrativeCentreOf P1474 FINISHED
Object Moss municipality E244452 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: Moss municipality | Statement: [Moss, Norway, administrativeCentreOf, Moss municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moss municipality
Context triple: [Moss, Norway, administrativeCentreOf, Moss municipality]
  • A. Moss municipality chosen
    Moss municipality is a local government area in Viken county, Norway, known for its coastal location along the Oslofjord and centered around the town of Moss.
  • B. Sveio Municipality
    Sveio Municipality is a coastal municipality in Western Norway known for its scenic landscapes, islands, and proximity to the North Sea.
  • C. Vanylven Municipality
    Vanylven Municipality is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • D. Voss Municipality
    Voss Municipality is a local government area in western Norway known for its dramatic landscapes, outdoor sports, and cultural traditions.
  • E. Kinn Municipality
    Kinn Municipality is a coastal municipality in western Norway known for its rugged coastline, fishing communities, and maritime industries.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cff1b008190b537feea0e0cc88f completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5ccdf7a081909624f5cff787e688 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:25 p.m.