Triple
T18465762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | libraries of Osaka University |
E451154
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Osaka University Science and Engineering Library |
—
|
NE NERFINISHED |
How this triple was built (3 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: Osaka University Science and Engineering Library | Statement: [libraries of Osaka University, hasPart, Osaka University Science and Engineering Library]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osaka University Science and Engineering Library Context triple: [libraries of Osaka University, hasPart, Osaka University Science and Engineering Library]
-
A.
Osaka University Main Library
Osaka University Main Library is the central academic library of Osaka University, providing comprehensive research resources and study facilities for students and scholars.
-
B.
Keio University Library
Keio University Library is the academic library system of Keio University in Japan, housing extensive research collections and providing information services to support the university’s education and scholarship.
-
C.
Nankai University Library
Nankai University Library is the main academic library system of Nankai University in Tianjin, China, providing comprehensive research and learning resources for students and faculty.
-
D.
University of Tokyo General Library
The University of Tokyo General Library is the main academic library of the University of Tokyo, housing extensive research collections and serving as a central resource for students and scholars.
-
E.
Kyushu University Medical Library
Kyushu University Medical Library is an academic health sciences library of Kyushu University that supports medical education, research, and clinical practice.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Osaka University Science and Engineering Library Target entity description: Osaka University Science and Engineering Library is a specialized academic library that supports education and research in science and engineering disciplines at Osaka University.
-
A.
Osaka University Main Library
Osaka University Main Library is the central academic library of Osaka University, providing comprehensive research resources and study facilities for students and scholars.
-
B.
Keio University Library
Keio University Library is the academic library system of Keio University in Japan, housing extensive research collections and providing information services to support the university’s education and scholarship.
-
C.
Nankai University Library
Nankai University Library is the main academic library system of Nankai University in Tianjin, China, providing comprehensive research and learning resources for students and faculty.
-
D.
University of Tokyo General Library
The University of Tokyo General Library is the main academic library of the University of Tokyo, housing extensive research collections and serving as a central resource for students and scholars.
-
E.
Kyushu University Medical Library
Kyushu University Medical Library is an academic health sciences library of Kyushu University that supports medical education, research, and clinical practice.
- F. None of above. chosen
Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a83a27c8190aafb82f615c2dd72 |
completed | April 19, 2026, 7:18 p.m. |
Created at: April 10, 2026, 11:34 a.m.