Triple

T13321698
Position Surface form Disambiguated ID Type / Status
Subject Karnataka State Open University E317329 entity
Predicate acronym P43 FINISHED
Object KSOU
KSOU is a public distance-learning university based in Karnataka, India, offering a wide range of undergraduate and postgraduate programs through open and online education.
E1032195 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: KSOU | Statement: [Karnataka State Open University, acronym, KSOU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KSOU
Context triple: [Karnataka State Open University, acronym, KSOU]
  • A. KSU
    KSU is the vehicle registration code used for motor vehicles registered in Kristiansund, Norway.
  • B. KSU
    KSU is the vehicle registration code used on license plates for the town of Sucha Beskidzka in Poland.
  • 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. KSUN
    KSUN is the ICAO airport code for Friedman Memorial Airport, a public airport serving the Sun Valley and Hailey area in Idaho, United States.
  • E. KU
    KU is a common abbreviation for the University of Karachi, a major public research university in Karachi, Pakistan.
  • 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: KSOU
Triple: [Karnataka State Open University, acronym, KSOU]
Generated description
KSOU is a public distance-learning university based in Karnataka, India, offering a wide range of undergraduate and postgraduate programs through open and online education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KSOU
Target entity description: KSOU is a public distance-learning university based in Karnataka, India, offering a wide range of undergraduate and postgraduate programs through open and online education.
  • A. KSU
    KSU is the vehicle registration code used for motor vehicles registered in Kristiansund, Norway.
  • B. KSU
    KSU is the vehicle registration code used on license plates for the town of Sucha Beskidzka in Poland.
  • 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. KSUN
    KSUN is the ICAO airport code for Friedman Memorial Airport, a public airport serving the Sun Valley and Hailey area in Idaho, United States.
  • E. KU
    KU is a common abbreviation for the University of Karachi, a major public research university in Karachi, Pakistan.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992ab83c8190982d9f54dff6919f completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716efc3908190890e969c40694771 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f7177f2270819098426a269032ea1c completed May 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69f71847e7308190ac6f59a7dcafa452 completed May 3, 2026, 9:41 a.m.
Created at: April 9, 2026, 9:30 p.m.