Triple

T13449399
Position Surface form Disambiguated ID Type / Status
Subject Howest University of Applied Sciences E320568 entity
Predicate abbreviation P43 FINISHED
Object Howest
Howest is a Belgian university of applied sciences known for its practice-oriented programs in fields such as technology, design, and business.
 E1040304 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: Howest | Statement: [Howest University of Applied Sciences, abbreviation, Howest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Howest
Context triple: [Howest University of Applied Sciences, abbreviation, Howest]
  • A. Huntiella
    Huntiella is a genus of fungi in the family Ceratocystidaceae, known for species associated with wood and plant hosts, including some that are plant pathogens.
  • B. Unhos
    Unhos is a civil parish in the municipality of Loures, within the Lisbon District of Portugal.
  • C. Herbiester
    Herbiester is a village in the municipality of Jalhay in the province of Liège, Belgium.
  • D. Hasskyn
    Hasskyn is a fictional planet in the Star Wars universe known primarily as the birthplace of Resistance spy Vi Moradi.
  • E. Wusse
    Wusse is a small settlement in the German state of Mecklenburg-Vorpommern that serves as the administrative seat of the municipality of Ummanz.
  • 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: Howest
Triple: [Howest University of Applied Sciences, abbreviation, Howest]
Generated description
Howest is a Belgian university of applied sciences known for its practice-oriented programs in fields such as technology, design, and business.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Howest
Target entity description: Howest is a Belgian university of applied sciences known for its practice-oriented programs in fields such as technology, design, and business.
  • A. Huntiella
    Huntiella is a genus of fungi in the family Ceratocystidaceae, known for species associated with wood and plant hosts, including some that are plant pathogens.
  • B. Unhos
    Unhos is a civil parish in the municipality of Loures, within the Lisbon District of Portugal.
  • C. Herbiester
    Herbiester is a village in the municipality of Jalhay in the province of Liège, Belgium.
  • D. Hasskyn
    Hasskyn is a fictional planet in the Star Wars universe known primarily as the birthplace of Resistance spy Vi Moradi.
  • E. Wusse
    Wusse is a small settlement in the German state of Mecklenburg-Vorpommern that serves as the administrative seat of the municipality of Ummanz.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef973b08190a3d7fe1c2a913cff completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73999f8388190b2c578e063341178 completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73af2b37481908c4d282c1335fe08 completed May 3, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_69f73b959de88190959335353242031b completed May 3, 2026, 12:12 p.m.
Created at: April 9, 2026, 9:41 p.m.