Triple

T22233950
Position Surface form Disambiguated ID Type / Status
Subject Oulu University of Applied Sciences E549539 entity
Predicate abbreviation P43 FINISHED
Object Oamk
Oamk is a Finnish university of applied sciences located in Oulu, offering practice-oriented higher education and research in various professional fields.
 E1525830 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: Oamk | Statement: [Oulu University of Applied Sciences, abbreviation, Oamk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oamk
Context triple: [Oulu University of Applied Sciences, abbreviation, Oamk]
  • A. Orikum
    Orikum is a small coastal town in southern Albania known for its bay on the Adriatic Sea and proximity to the ancient city of Oricum and the Karaburun Peninsula.
  • B. Ofakim
    Ofakim is a small development town in southern Israel known for its working-class character and location in the Negev region.
  • C. Onumade
    Onumade is a character or component featured within the work "Necessary Evil."
  • D. Haimos
    Haimos is a figure from Greek mythology known primarily as a sibling of Ida.
  • E. Oza
    "Oza" is a prominent poetic work by Russian poet Andrei Voznesensky, reflecting his innovative style and experimental approach to verse.
  • 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: Oamk
Triple: [Oulu University of Applied Sciences, abbreviation, Oamk]
Generated description
Oamk is a Finnish university of applied sciences located in Oulu, offering practice-oriented higher education and research in various professional fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oamk
Target entity description: Oamk is a Finnish university of applied sciences located in Oulu, offering practice-oriented higher education and research in various professional fields.
  • A. Orikum
    Orikum is a small coastal town in southern Albania known for its bay on the Adriatic Sea and proximity to the ancient city of Oricum and the Karaburun Peninsula.
  • B. Ofakim
    Ofakim is a small development town in southern Israel known for its working-class character and location in the Negev region.
  • C. Onumade
    Onumade is a character or component featured within the work "Necessary Evil."
  • D. Haimos
    Haimos is a figure from Greek mythology known primarily as a sibling of Ida.
  • E. Oza
    "Oza" is a prominent poetic work by Russian poet Andrei Voznesensky, reflecting his innovative style and experimental approach to verse.
  • 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.