Triple

T1017049
Position Surface form Disambiguated ID Type / Status
Subject Kobe Gakuin University E21953 entity
Predicate hasAbbreviation P43 FINISHED
Object KGU
KGU is the commonly used abbreviation for Kobe Gakuin University, a private university located in Kobe, Japan.
 E121617 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: KGU | Statement: [Kobe Gakuin University, hasAbbreviation, KGU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KGU
Context triple: [Kobe Gakuin University, hasAbbreviation, KGU]
  • A. KSU
    KSU is the vehicle registration code used on license plates for the town of Sucha Beskidzka in Poland.
  • B. KU
    KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
  • C. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • D. HeKKSaGOn University Alliance
    HeKKSaGOn University Alliance is a strategic academic network linking leading universities in Japan and Germany to promote collaborative research, education, and innovation.
  • E. Keller Graduate School of Management
    Keller Graduate School of Management is a private graduate business school in the United States offering MBA and other professional master's degree programs, primarily through flexible online and evening formats.
  • 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: KGU
Triple: [Kobe Gakuin University, hasAbbreviation, KGU]
Generated description
KGU is the commonly used abbreviation for Kobe Gakuin University, a private university located in Kobe, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KGU
Target entity description: KGU is the commonly used abbreviation for Kobe Gakuin University, a private university located in Kobe, Japan.
  • A. GCU
    GCU is a modern public university in Glasgow, Scotland, known for its focus on social innovation, applied research, and career-oriented education.
  • B. KSU
    KSU is the vehicle registration code used on license plates for the town of Sucha Beskidzka in Poland.
  • C. KU
    KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
  • D. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • E. HeKKSaGOn University Alliance
    HeKKSaGOn University Alliance is a strategic academic network linking leading universities in Japan and Germany to promote collaborative research, education, and innovation.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c4d488819081d8214ba0a22fe5 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb1b0bc819095af3b50bfebca1e completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3dd441fc8190ad462aa07e9c8c9b completed March 7, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_69ac3e45d9e88190bc88d037c00c3ecc completed March 7, 2026, 3:03 p.m.
Created at: March 1, 2026, 7:41 p.m.