Triple

T6426063
Position Surface form Disambiguated ID Type / Status
Subject Namdalen E128060 entity
Predicate containsTown P847 FINISHED
Object Namsos 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 | Statement: [Namdalen, containsTown, Namsos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Namsos
Context triple: [Namdalen, containsTown, Namsos]
  • 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. Namdalseid
    Namdalseid is a former rural municipality in Trøndelag county, Norway, known for its forests, agriculture, and coastal landscape along the Namsenfjorden.
  • C. Rock City Namsos
    Rock City Namsos is a Norwegian national experience and competence center dedicated to rock music, featuring interactive exhibits, education, and events that celebrate the country’s rock heritage.
  • D. Finnsnes
    Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
  • E. Snåsa
    Snåsa is a rural municipality in Trøndelag county, Norway, known for its large lakes, forests, and strong South Sámi cultural heritage.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0691f944c81909d4e5d8ef9e494b6 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640e339108190bbb74c688de574cc completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:43 p.m.