Triple

T13808260
Position Surface form Disambiguated ID Type / Status
Subject Gran municipality E331814 entity
Predicate contains P35 FINISHED
Object Moen
Moen is a village in Northern Norway that serves as the administrative centre of Målselv Municipality in Troms og Finnmark county.
E1062776 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: Moen | Statement: [Gran municipality, contains, Moen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moen
Context triple: [Gran municipality, contains, Moen]
  • A. Kohler
    Kohler is a German-origin surname borne by various notable individuals, including scholars, politicians, and artists.
  • B. Amana
    Amana is one of the historic villages that make up the communal German Pietist settlement known as the Amana Colonies in Iowa.
  • C. Hansnes
    Hansnes is a small coastal village in northern Norway that serves as an administrative and ferry hub for the surrounding islands in Troms.
  • D. Wieck
    Wieck is a German surname most notably associated with Friedrich Wieck, the influential 19th-century piano teacher and father of composer Clara Schumann.
  • E. Skogrand
    Skogrand is a small settlement located within the municipality of Nes in Akershus county, Norway.
  • 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: Moen
Triple: [Gran municipality, contains, Moen]
Generated description
Moen is a village in Northern Norway that serves as the administrative centre of Målselv Municipality in Troms og Finnmark county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moen
Target entity description: Moen is a village in Northern Norway that serves as the administrative centre of Målselv Municipality in Troms og Finnmark county.
  • A. Kohler
    Kohler is a German-origin surname borne by various notable individuals, including scholars, politicians, and artists.
  • B. Amana
    Amana is one of the historic villages that make up the communal German Pietist settlement known as the Amana Colonies in Iowa.
  • C. Hansnes
    Hansnes is a small coastal village in northern Norway that serves as an administrative and ferry hub for the surrounding islands in Troms.
  • D. Wieck
    Wieck is a German surname most notably associated with Friedrich Wieck, the influential 19th-century piano teacher and father of composer Clara Schumann.
  • E. Skogrand
    Skogrand is a small settlement located within the municipality of Nes in Akershus county, Norway.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026eae8481908b8880635e6a9152 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08fbc348190a199c5d92e0e46be completed May 3, 2026, 8:31 p.m.
NEDg Description generation batch_69f7b15143108190a49a09afba93eb45 completed May 3, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7b50c31ac81909b17013d57dda164 completed May 3, 2026, 8:50 p.m.
Created at: April 9, 2026, 10:12 p.m.