Triple

T400928
Position Surface form Disambiguated ID Type / Status
Subject Østfold University College E9278 entity
Predicate hasCampusIn P4623 FINISHED
Object Askim
Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
 E51185 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: Askim | Statement: [Østfold University College, hasCampusIn, Askim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Askim
Context triple: [Østfold University College, hasCampusIn, Askim]
  • A. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • B. Kassaman
    Kassaman is the national anthem of Algeria, known for its revolutionary lyrics that honor the struggle for independence from French colonial rule.
  • C. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • D. Aimaqs
    The Aimaqs are a collection of semi-nomadic, Persian-speaking ethnic groups primarily inhabiting western and central Afghanistan.
  • E. Juhurim
    Juhurim are a Jewish ethnic group from the eastern and northern Caucasus, particularly Dagestan and Azerbaijan, with their own distinct language (Juhuri) and cultural traditions.
  • 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: Askim
Triple: [Østfold University College, hasCampusIn, Askim]
Generated description
Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Askim
Target entity description: Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
  • A. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • B. Kassaman
    Kassaman is the national anthem of Algeria, known for its revolutionary lyrics that honor the struggle for independence from French colonial rule.
  • C. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • D. Aimaqs
    The Aimaqs are a collection of semi-nomadic, Persian-speaking ethnic groups primarily inhabiting western and central Afghanistan.
  • E. Juhurim
    Juhurim are a Jewish ethnic group from the eastern and northern Caucasus, particularly Dagestan and Azerbaijan, with their own distinct language (Juhuri) and cultural traditions.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ee2c2d1881909aa1ccfaa4172b38 completed Feb. 28, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69a413f275ac81908b6fd095a6d5a415 completed March 1, 2026, 10:24 a.m.
NEDg Description generation batch_69a41464d2a8819085ee2fc8a86a7628 completed March 1, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69a414a7aff08190ab54f4118cec790d completed March 1, 2026, 10:27 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.