Triple
T392589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyushu University |
E8911
|
entity |
| Predicate | hasGraduateSchool |
P113
|
FINISHED |
| Object |
Graduate School of Information Science and Electrical Engineering
The Graduate School of Information Science and Electrical Engineering is a specialized graduate division of Kyushu University focused on advanced research and education in information technology, computer science, and electrical and electronic engineering.
|
E51072
|
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: Graduate School of Information Science and Electrical Engineering | Statement: [Kyushu University, hasGraduateSchool, Graduate School of Information Science and Electrical Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graduate School of Information Science and Electrical Engineering Context triple: [Kyushu University, hasGraduateSchool, Graduate School of Information Science and Electrical Engineering]
-
A.
Graduate School of Information Science and Technology
The Graduate School of Information Science and Technology is a leading research and education institution at the University of Tokyo specializing in advanced information science, computer science, and related technologies.
-
B.
Graduate School of Engineering
The Graduate School of Engineering at the University of Tokyo is a leading Japanese institution for advanced engineering education and research across a wide range of technological fields.
-
C.
Graduate School of Engineering
The Graduate School of Engineering at Kyushu University is a leading Japanese engineering graduate institution offering advanced research and education across a wide range of engineering disciplines.
-
D.
Graduate School of Science
The Graduate School of Science at the University of Tokyo is a leading research and education institution in Japan, renowned for its advanced programs and contributions across the natural sciences.
-
E.
Graduate School of Science
The Graduate School of Science at Kyushu University is an advanced academic division dedicated to education and research in the natural sciences, training graduate students in fields such as physics, chemistry, mathematics, and related disciplines.
- 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: Graduate School of Information Science and Electrical Engineering Triple: [Kyushu University, hasGraduateSchool, Graduate School of Information Science and Electrical Engineering]
Generated description
The Graduate School of Information Science and Electrical Engineering is a specialized graduate division of Kyushu University focused on advanced research and education in information technology, computer science, and electrical and electronic engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Graduate School of Information Science and Electrical Engineering Target entity description: The Graduate School of Information Science and Electrical Engineering is a specialized graduate division of Kyushu University focused on advanced research and education in information technology, computer science, and electrical and electronic engineering.
-
A.
Graduate School of Information Science and Technology
The Graduate School of Information Science and Technology is a leading research and education institution at the University of Tokyo specializing in advanced information science, computer science, and related technologies.
-
B.
Graduate School of Engineering
The Graduate School of Engineering at the University of Tokyo is a leading Japanese institution for advanced engineering education and research across a wide range of technological fields.
-
C.
Graduate School of Engineering
The Graduate School of Engineering at Kyushu University is a leading Japanese engineering graduate institution offering advanced research and education across a wide range of engineering disciplines.
-
D.
Graduate School of Science
The Graduate School of Science at the University of Tokyo is a leading research and education institution in Japan, renowned for its advanced programs and contributions across the natural sciences.
-
E.
Graduate School of Science
The Graduate School of Science at Kyushu University is an advanced academic division dedicated to education and research in the natural sciences, training graduate students in fields such as physics, chemistry, mathematics, and related disciplines.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec7492288190bf33c9c869a0710f |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4103bcd788190bbbe4ddf8f71171a |
completed | March 1, 2026, 10:09 a.m. |
| NEDg | Description generation | batch_69a41108fce081908efb6b08dc0a7a63 |
completed | March 1, 2026, 10:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4134170008190a5a7d9567de6cc09 |
completed | March 1, 2026, 10:21 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.