Triple

T11216744
Position Surface form Disambiguated ID Type / Status
Subject Häme University of Applied Sciences E265457 entity
Predicate shortName P43 FINISHED
Object HAMK
HAMK is a Finnish university of applied sciences offering practice-oriented higher education and research across multiple campuses in the Häme region.
 E911272 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: HAMK | Statement: [Häme University of Applied Sciences, shortName, HAMK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HAMK
Context triple: [Häme University of Applied Sciences, shortName, HAMK]
  • A. HAM
    HAM is the standard abbreviation used for the Canadian Football League team, the Hamilton Tiger-Cats.
  • B. HAM
    HAM is the IATA airport code for Hamburg Airport, the international airport serving the city of Hamburg, Germany.
  • C. HAM
    HAM is the standard abbreviation used for the Hamilton Bulldogs, a Canadian junior ice hockey team based in Hamilton, Ontario.
  • D. MHK
    MHK is the post-nominal abbreviation used by elected members of the House of Keys, the lower branch of the Isle of Man's parliament.
  • E. Haskoll
    Haskoll is a British architectural practice known for designing major retail and mixed-use developments, including prominent shopping centres in the UK.
  • 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: HAMK
Triple: [Häme University of Applied Sciences, shortName, HAMK]
Generated description
HAMK is a Finnish university of applied sciences offering practice-oriented higher education and research across multiple campuses in the Häme region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HAMK
Target entity description: HAMK is a Finnish university of applied sciences offering practice-oriented higher education and research across multiple campuses in the Häme region.
  • A. HAM
    HAM is the standard abbreviation used for the Canadian Football League team, the Hamilton Tiger-Cats.
  • B. HAM
    HAM is the IATA airport code for Hamburg Airport, the international airport serving the city of Hamburg, Germany.
  • C. HAM
    HAM is the standard abbreviation used for the Hamilton Bulldogs, a Canadian junior ice hockey team based in Hamilton, Ontario.
  • D. MHK
    MHK is the post-nominal abbreviation used by elected members of the House of Keys, the lower branch of the Isle of Man's parliament.
  • E. Haskoll
    Haskoll is a British architectural practice known for designing major retail and mixed-use developments, including prominent shopping centres in the UK.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8e8eef48190932a85784ce15c86 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e49762e3188190ba3c0e01cf04f6a1 completed April 19, 2026, 8:50 a.m.
NEDg Description generation batch_69e49d37989881909c7e75ddfff06726 completed April 19, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_69e49f41a1f8819087cc15527dc7ff63 completed April 19, 2026, 9:24 a.m.
Created at: April 8, 2026, 9:30 p.m.