Triple
T18465767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | libraries of Osaka University |
E451154
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Osaka University Medicine 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 Medicine Library | Statement: [libraries of Osaka University, hasPart, Osaka University Medicine Library]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osaka University Medicine Library Context triple: [libraries of Osaka University, hasPart, Osaka University Medicine Library]
-
A.
Osaka University Science and Engineering Library
Osaka University Science and Engineering Library is a specialized academic library that supports education and research in science and engineering disciplines at Osaka University.
-
B.
Osaka University Life Sciences Library
Osaka University Life Sciences Library is a specialized academic library that supports education and research in the life sciences and related fields at Osaka University.
-
C.
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.
-
D.
Osaka University Dentistry Library
Osaka University Dentistry Library is a specialized academic library that supports education and research in dentistry and oral health sciences at Osaka University.
-
E.
Osaka City University Graduate School of Medicine
Osaka City University Graduate School of Medicine is a Japanese medical graduate school known for training physicians and researchers, including Nobel Prize–winning stem cell scientist Shinya Yamanaka.
- 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 Medicine Library Target entity description: Osaka University Medicine Library is a specialized academic library that supports education and research in medical and health sciences at Osaka University.
-
A.
Osaka University Science and Engineering Library
Osaka University Science and Engineering Library is a specialized academic library that supports education and research in science and engineering disciplines at Osaka University.
-
B.
Osaka University Life Sciences Library
Osaka University Life Sciences Library is a specialized academic library that supports education and research in the life sciences and related fields at Osaka University.
-
C.
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.
-
D.
Osaka University Dentistry Library
Osaka University Dentistry Library is a specialized academic library that supports education and research in dentistry and oral health sciences at Osaka University.
-
E.
Osaka City University Graduate School of Medicine
Osaka City University Graduate School of Medicine is a Japanese medical graduate school known for training physicians and researchers, including Nobel Prize–winning stem cell scientist Shinya Yamanaka.
- 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.