Triple

T15647771
Position Surface form Disambiguated ID Type / Status
Subject Kristiansund Airport, Kvernberget E376224 entity
Predicate IATAcode P418 FINISHED
Object KSU
KSU is the IATA airport code for Kristiansund Airport, Kvernberget, a regional airport serving the town of Kristiansund in Norway.
 E373444 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: KSU | Statement: [Kristiansund Airport, Kvernberget, IATAcode, KSU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KSU
Context triple: [Kristiansund Airport, Kvernberget, IATAcode, KSU]
  • A. KSU
    KSU is the vehicle registration code used for motor vehicles registered in Kristiansund, Norway.
  • B. KSU
    KSU is a public research university in Kent, Ohio, known for its diverse academic programs and its historical significance related to the 1970 campus shootings.
  • C. KSU
    KSU is the vehicle registration code used on license plates for the town of Sucha Beskidzka in Poland.
  • D. Kennesaw State University
    Kennesaw State University is a large public research university in Georgia known for its diverse academic programs and rapidly growing student population.
  • E. KU
    KU is the commonly used abbreviation for Kutztown University of Pennsylvania, a public university located in Kutztown, Pennsylvania.
  • 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: KSU
Triple: [Kristiansund Airport, Kvernberget, IATAcode, KSU]
Generated description
KSU is the IATA airport code for Kristiansund Airport, Kvernberget, a regional airport serving the town of Kristiansund in Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KSU
Target entity description: KSU is the IATA airport code for Kristiansund Airport, Kvernberget, a regional airport serving the town of Kristiansund in Norway.
  • A. KSU
    KSU is the vehicle registration code used on license plates for the town of Sucha Beskidzka in Poland.
  • B. KSU chosen
    KSU is the vehicle registration code used for motor vehicles registered in Kristiansund, Norway.
  • C. KSU
    KSU is a public research university in Kent, Ohio, known for its diverse academic programs and its historical significance related to the 1970 campus shootings.
  • D. Kennesaw State University
    Kennesaw State University is a large public research university in Georgia known for its diverse academic programs and rapidly growing student population.
  • E. KU
    KU is the commonly used abbreviation for Kutztown University of Pennsylvania, a public university located in Kutztown, Pennsylvania.
  • F. None of above.

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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed5b8b081908d7127964eed3b09 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67936e388190913c9060194e5b53 completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff6883b5048190b64e4361bc89dd80 completed May 9, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff6911a76c819088c8a86d2106b6c6 completed May 9, 2026, 5:04 p.m.
Created at: April 10, 2026, 4:15 a.m.