Triple

T5669242
Position Surface form Disambiguated ID Type / Status
Subject Steinkjer E124933 entity
Predicate hasMayor P185 FINISHED
Object Anne Berit Lein
Anne Berit Lein is a Norwegian politician who has served as the mayor of the municipality of Steinkjer.
 E555541 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: Anne Berit Lein | Statement: [Steinkjer, hasMayor, Anne Berit Lein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anne Berit Lein
Context triple: [Steinkjer, hasMayor, Anne Berit Lein]
  • A. Valgerd Svarstad Haugland
    Valgerd Svarstad Haugland is a Norwegian politician who led the Christian Democratic Party and has served as a government minister and prominent public figure in Norway.
  • B. Toril Marie Øie
    Toril Marie Øie is a Norwegian jurist who serves as the Chief Justice of the Supreme Court of Norway.
  • C. Olaug Bollestad
    Olaug Bollestad is a Norwegian politician who has led the Christian Democratic Party and served as a government minister.
  • D. Inger Skramstad
    Inger Skramstad is known as the spouse of Norwegian-American physicist and Nobel laureate Ivar Giaever.
  • E. Synnøve Solbakken
    Synnøve Solbakken is a 1857 Norwegian peasant novel by Bjørnstjerne Bjørnson that portrays rural life and moral ideals through the love story of a young couple.
  • 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: Anne Berit Lein
Triple: [Steinkjer, hasMayor, Anne Berit Lein]
Generated description
Anne Berit Lein is a Norwegian politician who has served as the mayor of the municipality of Steinkjer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anne Berit Lein
Target entity description: Anne Berit Lein is a Norwegian politician who has served as the mayor of the municipality of Steinkjer.
  • A. Valgerd Svarstad Haugland
    Valgerd Svarstad Haugland is a Norwegian politician who led the Christian Democratic Party and has served as a government minister and prominent public figure in Norway.
  • B. Toril Marie Øie
    Toril Marie Øie is a Norwegian jurist who serves as the Chief Justice of the Supreme Court of Norway.
  • C. Olaug Bollestad
    Olaug Bollestad is a Norwegian politician who has led the Christian Democratic Party and served as a government minister.
  • D. Inger Skramstad
    Inger Skramstad is known as the spouse of Norwegian-American physicist and Nobel laureate Ivar Giaever.
  • E. Synnøve Solbakken
    Synnøve Solbakken is a 1857 Norwegian peasant novel by Bjørnstjerne Bjørnson that portrays rural life and moral ideals through the love story of a young couple.
  • 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0234891d48190bf662f38ef84d4f3 completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf7e59b48190a4c240442d2d9136 completed March 23, 2026, 4:20 a.m.
NEDg Description generation batch_69c0c0ca548c81908382dbba5f440847 completed March 23, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_69c0c19e5ef08190abe26030e24b4d91 completed March 23, 2026, 4:29 a.m.
Created at: March 22, 2026, 3:43 p.m.