Triple

T22611615
Position Surface form Disambiguated ID Type / Status
Subject Lørenskog municipality E566718 entity
Predicate administrativeCentre P1474 FINISHED
Object Kjenn
Kjenn is a town in Viken county, Norway, serving as the central hub for local governance and services in Lørenskog municipality.
E1546169 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: Kjenn | Statement: [Lørenskog municipality, administrativeCentre, Kjenn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kjenn
Context triple: [Lørenskog municipality, administrativeCentre, Kjenn]
  • A. Kris
    Kris is an American daytime talk show hosted by Kris Jenner that briefly aired in 2013.
  • B. Kris
    Kris is a novel by Swedish author Karin Boye, known for its introspective exploration of identity, faith, and inner conflict.
  • C. Kris
    Kris is a given name commonly used as a short or diminutive form of longer names such as Krista, Kristina, or Kristopher in various languages.
  • D. Kris
    Kris is the female playable protagonist introduced in Pokémon Crystal, recognized as one of the first customizable main characters in the Pokémon game series.
  • E. Kris
    Kris is the given name of English actor Kris Marshall, known for his roles in "Love Actually," "My Family," and various British television dramas and comedies.
  • 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: Kjenn
Triple: [Lørenskog municipality, administrativeCentre, Kjenn]
Generated description
Kjenn is a town in Viken county, Norway, serving as the central hub for local governance and services in Lørenskog municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kjenn
Target entity description: Kjenn is a town in Viken county, Norway, serving as the central hub for local governance and services in Lørenskog municipality.
  • A. Kris
    Kris is an American daytime talk show hosted by Kris Jenner that briefly aired in 2013.
  • B. Kris
    Kris is a novel by Swedish author Karin Boye, known for its introspective exploration of identity, faith, and inner conflict.
  • C. Kris
    Kris is a given name commonly used as a short or diminutive form of longer names such as Krista, Kristina, or Kristopher in various languages.
  • D. Kris
    Kris is the given name of English actor Kris Marshall, known for his roles in "Love Actually," "My Family," and various British television dramas and comedies.
  • E. Kris
    Kris is the female playable protagonist introduced in Pokémon Crystal, recognized as one of the first customizable main characters in the Pokémon game series.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167eb08c88190bf2380fa8575d2da completed April 29, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4dfb3bbc8190a80293adab818937 completed May 18, 2026, 5:35 p.m.
NEDg Description generation batch_6a0b4f24dd9c81908f6907c75d4c6da7 completed May 18, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_6a0b4fffea548190b0c3d9cce1c89aa9 completed May 18, 2026, 5:44 p.m.
Created at: April 17, 2026, 2:56 p.m.