Triple

T597143
Position Surface form Disambiguated ID Type / Status
Subject Sámi E11410 entity
Predicate hasParliament P2820 FINISHED
Object Sámediggi (Norway)
Sámediggi (Norway) is the representative parliament of the Sámi people in Norway, responsible for promoting and protecting Sámi language, culture, and political interests.
 E74374 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: Sámediggi (Norway) | Statement: [Sámi, hasParliament, Sámediggi (Norway)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sámediggi (Norway)
Context triple: [Sámi, hasParliament, Sámediggi (Norway)]
  • A. Finnøy
    Finnøy is a small island municipality in Rogaland county, Norway, known as the rural birthplace of mathematician Niels Henrik Abel.
  • B. Gaustad
    Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
  • C. 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.
  • D. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • E. Tøyen
    Tøyen is a neighborhood in Oslo, Norway, known for its cultural institutions, parks, and educational facilities.
  • 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: Sámediggi (Norway)
Triple: [Sámi, hasParliament, Sámediggi (Norway)]
Generated description
Sámediggi (Norway) is the representative parliament of the Sámi people in Norway, responsible for promoting and protecting Sámi language, culture, and political interests.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sámediggi (Norway)
Target entity description: Sámediggi (Norway) is the representative parliament of the Sámi people in Norway, responsible for promoting and protecting Sámi language, culture, and political interests.
  • A. Finnøy
    Finnøy is a small island municipality in Rogaland county, Norway, known as the rural birthplace of mathematician Niels Henrik Abel.
  • B. Gaustad
    Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
  • C. 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.
  • D. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • E. Tøyen
    Tøyen is a neighborhood in Oslo, Norway, known for its cultural institutions, parks, and educational facilities.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d2b98d08190a1c1e8659efdfd75 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518c766508190ae39b6e254a07bc3 completed March 2, 2026, 4:57 a.m.
NEDg Description generation batch_69a5194215848190874442451c32a10b completed March 2, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_69a519d2e46881909d00ff279bd4a13e completed March 2, 2026, 5:02 a.m.
Created at: March 1, 2026, 7:35 p.m.