Triple

T16282013
Position Surface form Disambiguated ID Type / Status
Subject Vantaa E395287 entity
Predicate hasUniversityCampus P4623 FINISHED
Object Metropolia University of Applied Sciences
Metropolia University of Applied Sciences is one of Finland’s largest universities of applied sciences, offering practice-oriented higher education and research in fields such as technology, business, health care, and culture across multiple campuses in the Helsinki metropolitan area.
E1203324 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: Metropolia University of Applied Sciences | Statement: [Vantaa, hasUniversityCampus, Metropolia University of Applied Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metropolia University of Applied Sciences
Context triple: [Vantaa, hasUniversityCampus, Metropolia University of Applied Sciences]
  • A. Saimaa University of Applied Sciences
    Saimaa University of Applied Sciences was a Finnish university of applied sciences located in the South Karelia region, offering practice-oriented higher education and research in fields such as technology, business, and health care.
  • B. Savonia University of Applied Sciences
    Savonia University of Applied Sciences is a Finnish institution of higher education offering practice-oriented degree programs and research activities, particularly strong in fields like engineering, health care, and business.
  • C. Tampere University of Applied Sciences
    Tampere University of Applied Sciences is a Finnish multidisciplinary higher education institution in Tampere offering practice-oriented bachelor’s and master’s degree programs and strong links to regional industry.
  • D. Satakunta University of Applied Sciences
    Satakunta University of Applied Sciences is a Finnish university of applied sciences offering practice-oriented higher education and research in fields such as technology, business, health care, and social services.
  • E. Turku University of Applied Sciences
    Turku University of Applied Sciences is a multidisciplinary Finnish higher education institution known for its practice-oriented degree programs and strong collaboration with regional industries and communities.
  • 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: Metropolia University of Applied Sciences
Triple: [Vantaa, hasUniversityCampus, Metropolia University of Applied Sciences]
Generated description
Metropolia University of Applied Sciences is one of Finland’s largest universities of applied sciences, offering practice-oriented higher education and research in fields such as technology, business, health care, and culture across multiple campuses in the Helsinki metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Metropolia University of Applied Sciences
Target entity description: Metropolia University of Applied Sciences is one of Finland’s largest universities of applied sciences, offering practice-oriented higher education and research in fields such as technology, business, health care, and culture across multiple campuses in the Helsinki metropolitan area.
  • A. Saimaa University of Applied Sciences
    Saimaa University of Applied Sciences was a Finnish university of applied sciences located in the South Karelia region, offering practice-oriented higher education and research in fields such as technology, business, and health care.
  • B. Savonia University of Applied Sciences
    Savonia University of Applied Sciences is a Finnish institution of higher education offering practice-oriented degree programs and research activities, particularly strong in fields like engineering, health care, and business.
  • C. Tampere University of Applied Sciences
    Tampere University of Applied Sciences is a Finnish multidisciplinary higher education institution in Tampere offering practice-oriented bachelor’s and master’s degree programs and strong links to regional industry.
  • D. Satakunta University of Applied Sciences
    Satakunta University of Applied Sciences is a Finnish university of applied sciences offering practice-oriented higher education and research in fields such as technology, business, health care, and social services.
  • E. Turku University of Applied Sciences
    Turku University of Applied Sciences is a multidisciplinary Finnish higher education institution known for its practice-oriented degree programs and strong collaboration with regional industries and communities.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24910c6b881909ae5cc0908dd8eb2 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c6b72081908a21e5099f463b62 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a001876efb081909c0940ebcf265f15 completed May 10, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0018f6de84819087b8e97b0400c77d completed May 10, 2026, 5:34 a.m.
Created at: April 10, 2026, 5:05 a.m.