Triple

T21439415
Position Surface form Disambiguated ID Type / Status
Subject 神戸大学 E528898 entity
Predicate hasAbbreviation P43 FINISHED
Object KU
KU is the common English abbreviation for Kobe University, a national research university located in Kobe, Japan.
 E1484420 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: KU | Statement: [神戸大学, hasAbbreviation, KU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KU
Context triple: [神戸大学, hasAbbreviation, KU]
  • A. KU
    KU is the commonly used abbreviation for Kutztown University of Pennsylvania, a public university located in Kutztown, Pennsylvania.
  • B. KU
    KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
  • C. KU
    KU is a common abbreviation for the University of Karachi, a major public research university in Karachi, Pakistan.
  • D. KU
    KU is the University of Kansas, a major public research university in Lawrence, Kansas, known for its strong athletics and distinctive school traditions.
  • E. KU
    KU is the commonly used abbreviation for the University of Kashmir, a major public university located in Srinagar, Jammu and Kashmir, India.
  • 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: KU
Triple: [神戸大学, hasAbbreviation, KU]
Generated description
KU is the common English abbreviation for Kobe University, a national research university located in Kobe, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KU
Target entity description: KU is the common English abbreviation for Kobe University, a national research university located in Kobe, Japan.
  • A. KU
    KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
  • B. KU
    KU is the commonly used abbreviation for Korea University, one of South Korea’s leading private research universities.
  • C. KU
    KU is a common abbreviation for the University of Karachi, a major public research university in Karachi, Pakistan.
  • D. KU
    KU is the commonly used abbreviation for Kettering University, a private university in Flint, Michigan known for its strong engineering and cooperative education programs.
  • E. KU
    KU is the commonly used abbreviation for the University of Kashmir, a major public university located in Srinagar, Jammu and Kashmir, India.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b6feb2e48190ba5649f16a8bbbda completed April 22, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c8ff456481908092ae0af1297aab completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c99200a88190ad13565044dfcac0 completed May 17, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca3c4ec48190829b1bd83b933f53 completed May 17, 2026, 2:01 p.m.
Created at: April 16, 2026, 6:04 p.m.