Triple

T4476953
Position Surface form Disambiguated ID Type / Status
Subject Namsos E100031 entity
Predicate hasUrbanArea P316 FINISHED
Object Namsos (town) E100031 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: Namsos (town) | Statement: [Namsos, hasUrbanArea, Namsos (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Namsos (town)
Context triple: [Namsos, hasUrbanArea, Namsos (town)]
  • A. Namsos chosen
    Namsos is a coastal town and municipality in central Norway known for its timber industry, fjord-side location, and role as a regional service center in Trøndelag.
  • B. Sokndal
    Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
  • C. Nordkjosbotn
    Nordkjosbotn is a small village in Troms county in northern Norway, known as a key road junction and service center where major routes connect inland and coastal regions.
  • D. Kjøpsvik
    Kjøpsvik is a small village in Nordland county, Norway, situated along the Tysfjorden and known as a local industrial and ferry hub in the region.
  • E. Verdal
    Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356d8600c8190a8b812889c50f144 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6288434188190a23c48267f55ce1e completed March 15, 2026, 3:33 a.m.
Created at: March 12, 2026, 11:35 p.m.