Triple

T3713162
Position Surface form Disambiguated ID Type / Status
Subject Pite Sámi E81462 entity
Predicate traditionalRegion P1968 FINISHED
Object Arjeplog
Arjeplog is a sparsely populated municipality in northern Sweden known for its vast lake landscapes, subarctic climate, and significance as a cultural area for the Sámi people.
 E381365 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: Arjeplog | Statement: [Pite Sámi, traditionalRegion, Arjeplog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arjeplog
Context triple: [Pite Sámi, traditionalRegion, Arjeplog]
  • A. Karasjok
    Karasjok is a municipality in northern Norway known as a cultural and political center for the Sámi people.
  • B. Spremberg
    Spremberg is a small town in eastern Germany’s Lusatia region, known for its location along the River Spree and its historic town center.
  • C. Risberg
    Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
  • D. Notodden
    Notodden is a town and municipality in Vestfold og Telemark county, Norway, known for its industrial heritage and annual blues festival.
  • E. Kiruna
    Kiruna is a mining town in northern Sweden known for its large iron ore mine and its location above the Arctic Circle.
  • 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: Arjeplog
Triple: [Pite Sámi, traditionalRegion, Arjeplog]
Generated description
Arjeplog is a sparsely populated municipality in northern Sweden known for its vast lake landscapes, subarctic climate, and significance as a cultural area for the Sámi people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arjeplog
Target entity description: Arjeplog is a sparsely populated municipality in northern Sweden known for its vast lake landscapes, subarctic climate, and significance as a cultural area for the Sámi people.
  • A. Karasjok
    Karasjok is a municipality in northern Norway known as a cultural and political center for the Sámi people.
  • B. Spremberg
    Spremberg is a small town in eastern Germany’s Lusatia region, known for its location along the River Spree and its historic town center.
  • C. Risberg
    Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
  • D. Notodden
    Notodden is a town and municipality in Vestfold og Telemark county, Norway, known for its industrial heritage and annual blues festival.
  • E. Kiruna
    Kiruna is a mining town in northern Sweden known for its large iron ore mine and its location above the Arctic Circle.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9cbc5648190936f93868086167e completed March 8, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce0c3320819092ca5dd0694e167f completed March 14, 2026, 2:55 a.m.
NEDg Description generation batch_69b4ceef46cc819096e0d824153d1544 completed March 14, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69b4cf6c4e5c8190bee35fc33d707823 completed March 14, 2026, 3:01 a.m.
Created at: March 8, 2026, 3:33 p.m.