Triple

T22233971
Position Surface form Disambiguated ID Type / Status
Subject Oulu University of Applied Sciences E549539 entity
Predicate hasCampusIn P4623 FINISHED
Object Kontinkangas
Kontinkangas is a district in Oulu, Finland, known for its concentration of educational, medical, and research facilities.
E1525831 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: Kontinkangas | Statement: [Oulu University of Applied Sciences, hasCampusIn, Kontinkangas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kontinkangas
Context triple: [Oulu University of Applied Sciences, hasCampusIn, Kontinkangas]
  • A. Eteläranta
    Eteläranta is a central waterfront street and area in Helsinki, Finland, known for its proximity to the South Harbour and key government and commercial buildings.
  • B. Merikarvia
    Merikarvia is a coastal municipality in western Finland known for its Baltic Sea shoreline, fishing traditions, and natural landscapes.
  • C. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • D. Paakantyi
    Paakantyi are an Aboriginal Australian people traditionally associated with the Darling River region of western New South Wales.
  • E. Kuntaur
    Kuntaur is a small riverside town in central Gambia that serves as an important inland hub for river transport and trade.
  • 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: Kontinkangas
Triple: [Oulu University of Applied Sciences, hasCampusIn, Kontinkangas]
Generated description
Kontinkangas is a district in Oulu, Finland, known for its concentration of educational, medical, and research facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kontinkangas
Target entity description: Kontinkangas is a district in Oulu, Finland, known for its concentration of educational, medical, and research facilities.
  • A. Eteläranta
    Eteläranta is a central waterfront street and area in Helsinki, Finland, known for its proximity to the South Harbour and key government and commercial buildings.
  • B. Merikarvia
    Merikarvia is a coastal municipality in western Finland known for its Baltic Sea shoreline, fishing traditions, and natural landscapes.
  • C. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • D. Paakantyi
    Paakantyi are an Aboriginal Australian people traditionally associated with the Darling River region of western New South Wales.
  • E. Kuntaur
    Kuntaur is a small riverside town in central Gambia that serves as an important inland hub for river transport and trade.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf61504819093e70bee4c575d1c completed April 28, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae79b9bc819087fc52b30ad04781 completed May 18, 2026, 6:15 a.m.
NEDg Description generation batch_6a0ab00780f8819086ef4d3e5756133d completed May 18, 2026, 6:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab0befa5481909d00cb845dd67b12 completed May 18, 2026, 6:25 a.m.
Created at: April 16, 2026, 8:38 p.m.