Triple

T594587
Position Surface form Disambiguated ID Type / Status
Subject Northern Norway E17350 entity
Predicate minorityLanguage P4250 FINISHED
Object Kven
Kven is a Finnic minority language closely related to Finnish, traditionally spoken by the Kven people in northern Norway.
 E74948 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: Kven | Statement: [Northern Norway, minorityLanguage, Kven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kven
Context triple: [Northern Norway, minorityLanguage, Kven]
  • A. Kenneth
    Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
  • B. Kenny
    "Kenny" is a 1979 country music album by American singer Kenny Rogers that features several of his popular hits from that era.
  • C. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • D. Kip
    Kip is a young Sikh British-Indian army sapper in Michael Ondaatje’s novel "The English Patient," whose expertise in bomb disposal and complex relationship with the other characters explore themes of war, identity, and colonialism.
  • E. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • 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: Kven
Triple: [Northern Norway, minorityLanguage, Kven]
Generated description
Kven is a Finnic minority language closely related to Finnish, traditionally spoken by the Kven people in northern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kven
Target entity description: Kven is a Finnic minority language closely related to Finnish, traditionally spoken by the Kven people in northern Norway.
  • A. Kenneth
    Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
  • B. Kenny
    "Kenny" is a 1979 country music album by American singer Kenny Rogers that features several of his popular hits from that era.
  • C. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • D. Kip
    Kip is a young Sikh British-Indian army sapper in Michael Ondaatje’s novel "The English Patient," whose expertise in bomb disposal and complex relationship with the other characters explore themes of war, identity, and colonialism.
  • E. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49d2a5f5481908bb9a71ff0f534d4 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a51f33e59c8190b3593b8460411fba completed March 2, 2026, 5:25 a.m.
NEDg Description generation batch_69a520147c808190b3f812cd439f3615 completed March 2, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_69a52086c2bc81909ba39c2dc0b2ab58 completed March 2, 2026, 5:30 a.m.
Created at: March 1, 2026, 7:33 p.m.