Triple

T3519030
Position Surface form Disambiguated ID Type / Status
Subject Sámediggi (Norway) E74374 entity
Predicate locatedInTheAdministrativeTerritorialEntity P40 FINISHED
Object Karasjok
Karasjok is a municipality in northern Norway known as a cultural and political center for the Sámi people.
E365882 NE FINISHED

How this triple was built (4 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: Karasjok | Statement: [Sámediggi (Norway), locatedInTheAdministrativeTerritorialEntity, Karasjok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karasjok
Context triple: [Sámediggi (Norway), locatedInTheAdministrativeTerritorialEntity, Karasjok]
  • A. Longyearbyen
    Longyearbyen is the world’s northernmost permanent settlement and the largest town in the Norwegian Arctic archipelago of Svalbard.
  • B. Narvik
    Narvik is a port town in northern Norway known for its strategic importance during World War II and as the site of major naval and land battles.
  • C. Vardø
    Vardø is a small coastal town in Norway’s far northeast, known as one of the country’s easternmost settlements and a historic Arctic gateway.
  • D. Svolvær
    Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
  • E. Notodden
    Notodden is a town and municipality in Vestfold og Telemark county, Norway, known for its industrial heritage and annual blues festival.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Karasjok
Triple: [Sámediggi (Norway), locatedInTheAdministrativeTerritorialEntity, Karasjok]
Generated description
Karasjok is a municipality in northern Norway known as a cultural and political center for the Sámi people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karasjok
Target entity description: Karasjok is a municipality in northern Norway known as a cultural and political center for the Sámi people.
  • A. Longyearbyen
    Longyearbyen is the world’s northernmost permanent settlement and the largest town in the Norwegian Arctic archipelago of Svalbard.
  • B. Narvik
    Narvik is a port town in northern Norway known for its strategic importance during World War II and as the site of major naval and land battles.
  • C. Vardø
    Vardø is a small coastal town in Norway’s far northeast, known as one of the country’s easternmost settlements and a historic Arctic gateway.
  • D. Svolvær
    Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
  • E. Notodden
    Notodden is a town and municipality in Vestfold og Telemark county, Norway, known for its industrial heritage and annual blues festival.
  • F. None of above. chosen

Provenance (5 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc49dea88190924c8abd29aabdad completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e80cd588190ae012f151ef59c52 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37ef902208190842ddbe6427ca42b completed March 13, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69b382b43b708190be7ae3d44b0a393a completed March 13, 2026, 3:21 a.m.
Created at: March 8, 2026, 3:19 p.m.