Triple

T5426111
Position Surface form Disambiguated ID Type / Status
Subject Oslo National Academy of the Arts E121365 entity
Predicate shortName P43 FINISHED
Object KHiO
KHiO is Norway’s largest public institution for higher education in the visual and performing arts, located in Oslo.
 E518489 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: KHiO | Statement: [Oslo National Academy of the Arts, shortName, KHiO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KHiO
Context triple: [Oslo National Academy of the Arts, shortName, KHiO]
  • A. KHIO
    KHIO is the ICAO airport code for Hillsboro Airport, a public aviation facility serving the Portland metropolitan area in Oregon, United States.
  • B. HIO
    HIO is the IATA airport code for Hillsboro Airport, a public aviation facility serving the Hillsboro area in Oregon, United States.
  • C. Hiyo
    Hiyo was a Japanese aircraft carrier of the Imperial Japanese Navy that served during World War II.
  • D. K-Ci
    K-Ci is an American R&B singer best known as a lead vocalist of the group Jodeci and one half of the duo K-Ci & JoJo.
  • E. KI
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • 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: KHiO
Triple: [Oslo National Academy of the Arts, shortName, KHiO]
Generated description
KHiO is Norway’s largest public institution for higher education in the visual and performing arts, located in Oslo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KHiO
Target entity description: KHiO is Norway’s largest public institution for higher education in the visual and performing arts, located in Oslo.
  • A. KHIO
    KHIO is the ICAO airport code for Hillsboro Airport, a public aviation facility serving the Portland metropolitan area in Oregon, United States.
  • B. HIO
    HIO is the IATA airport code for Hillsboro Airport, a public aviation facility serving the Hillsboro area in Oregon, United States.
  • C. Hiyo
    Hiyo was a Japanese aircraft carrier of the Imperial Japanese Navy that served during World War II.
  • D. K-Ci
    K-Ci is an American R&B singer best known as a lead vocalist of the group Jodeci and one half of the duo K-Ci & JoJo.
  • E. KI
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd881598448190a9bb456dee36004b completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3abfc7e88190b8f0a31b61c33973 completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3b592a08819090e2873bcf4e797f completed March 22, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf3c0b9e5481909101eccbd55f24b2 completed March 22, 2026, 12:47 a.m.
Created at: March 20, 2026, 2:06 p.m.