Triple

T8942707
Position Surface form Disambiguated ID Type / Status
Subject Turku University of Applied Sciences E212941 entity
Predicate shortName P43 FINISHED
Object TUAS
TUAS is a Finnish university of applied sciences based in Turku, offering practice-oriented higher education and research in various professional fields.
 E767234 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: TUAS | Statement: [Turku University of Applied Sciences, shortName, TUAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TUAS
Context triple: [Turku University of Applied Sciences, shortName, TUAS]
  • A. Aeropuerto T2
    Aeropuerto T2 is a Metrobús station in Mexico City that serves Terminal 2 of the city’s international airport.
  • B. Aeroport
    Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
  • C. HEF Airport
    HEF Airport is the regional public airport serving Manassas, Virginia, handling general aviation and some corporate and charter traffic for the Washington, D.C. metropolitan area.
  • D. TSA
    TSA is the IATA airport code for Taipei Songshan Airport, a major domestic and regional airport serving Taipei, Taiwan.
  • E. TSA
    TSA is the vehicle registration code assigned to Sandomierz County in Poland.
  • 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: TUAS
Triple: [Turku University of Applied Sciences, shortName, TUAS]
Generated description
TUAS is a Finnish university of applied sciences based in Turku, offering practice-oriented higher education and research in various professional fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TUAS
Target entity description: TUAS is a Finnish university of applied sciences based in Turku, offering practice-oriented higher education and research in various professional fields.
  • A. Aeropuerto T2
    Aeropuerto T2 is a Metrobús station in Mexico City that serves Terminal 2 of the city’s international airport.
  • B. Aeroport
    Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
  • C. HEF Airport
    HEF Airport is the regional public airport serving Manassas, Virginia, handling general aviation and some corporate and charter traffic for the Washington, D.C. metropolitan area.
  • D. TSA
    TSA is the IATA airport code for Taipei Songshan Airport, a major domestic and regional airport serving Taipei, Taiwan.
  • E. TSA
    TSA is the vehicle registration code assigned to Sandomierz County in Poland.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66d93978819084b1a5c7c5dd2372 completed April 1, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1f418708190b1272209f61e3a51 completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc25fdf3481909d9821f7728b0c5b completed April 3, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69cfc2e808408190b9bc44ed21fc67d9 completed April 3, 2026, 1:38 p.m.
Created at: March 30, 2026, 6:58 p.m.