Triple

T17857153
Position Surface form Disambiguated ID Type / Status
Subject Kunming University of Science and Technology E445969 entity
Predicate shortName P43 FINISHED
Object KUST
KUST is a Chinese university in Kunming specializing in science, engineering, and technology education and research.
 E1292020 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: KUST | Statement: [Kunming University of Science and Technology, shortName, KUST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KUST
Context triple: [Kunming University of Science and Technology, shortName, KUST]
  • A. KUST
    KUST is a public university in Kohat, Pakistan, known for its programs and research in science, technology, and related disciplines.
  • B. KOST
    KOST is a Los Angeles-based adult contemporary radio station known for its mainstream pop and soft rock programming.
  • C. KUT
    KUT is the IATA airport code for David the Builder Kutaisi International Airport, a major passenger airport serving the city of Kutaisi in Georgia.
  • D. KUD
    KUD is the station code used to identify Kungsträdgården metro station in the Stockholm metro system.
  • E. Kusti
    Kusti is the Finnish given name of Juho Kusti Paasikivi, a prominent Finnish statesman and former President of Finland.
  • 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: KUST
Triple: [Kunming University of Science and Technology, shortName, KUST]
Generated description
KUST is a Chinese university in Kunming specializing in science, engineering, and technology education and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KUST
Target entity description: KUST is a Chinese university in Kunming specializing in science, engineering, and technology education and research.
  • A. KUST
    KUST is a public university in Kohat, Pakistan, known for its programs and research in science, technology, and related disciplines.
  • B. KOST
    KOST is a Los Angeles-based adult contemporary radio station known for its mainstream pop and soft rock programming.
  • C. KUT
    KUT is the IATA airport code for David the Builder Kutaisi International Airport, a major passenger airport serving the city of Kutaisi in Georgia.
  • D. KUD
    KUD is the station code used to identify Kungsträdgården metro station in the Stockholm metro system.
  • E. Kusti
    Kusti is the Finnish given name of Juho Kusti Paasikivi, a prominent Finnish statesman and former President of Finland.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978d05708190838386d37eb157bc completed April 19, 2026, 8:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a030c62097c8190a52994d2806cb54a completed May 12, 2026, 11:17 a.m.
NEDg Description generation batch_6a030d0529f081908d5fd390af9d6bb7 completed May 12, 2026, 11:20 a.m.
NED2 Entity disambiguation (via description) batch_6a030dbb23208190bb73c4f9cee76f73 completed May 12, 2026, 11:23 a.m.
Created at: April 10, 2026, 10:17 a.m.