Triple
T22922847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keihanna Science City area |
E568910
|
entity |
| Predicate | notableInstitution |
P7636
|
FINISHED |
| Object | Kansai Science City Research Institutes |
—
|
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: Kansai Science City Research Institutes | Statement: [Keihanna Science City area, notableInstitution, Kansai Science City Research Institutes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kansai Science City Research Institutes Context triple: [Keihanna Science City area, notableInstitution, Kansai Science City Research Institutes]
-
A.
Osaka National Research Institute
Osaka National Research Institute was a former Japanese government research institution focused on industrial science and technology that later became part of the National Institute of Advanced Industrial Science and Technology (AIST).
-
B.
Ibuka Laboratory
Ibuka Laboratory was an electronics research workshop in postwar Tokyo that became the foundation for what would later grow into Sony.
-
C.
Kyushu National Industrial Research Institute
Kyushu National Industrial Research Institute was a former Japanese government research institute focused on industrial and technological development in the Kyushu region.
-
D.
Tsukuba Center
Tsukuba Center is a major commercial and transportation hub in Tsukuba, Japan, featuring shopping, offices, and access to local and regional transit.
-
E.
Izumo Science Center
Izumo Science Center is a public science museum and educational facility in Izumo, Shimane Prefecture, featuring interactive exhibits and programs that promote hands-on learning in science and technology.
- 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: Kansai Science City Research Institutes Target entity description: Kansai Science City Research Institutes are a network of advanced research and development centers in Japan’s Keihanna Science City, focusing on cutting-edge science, technology, and interdisciplinary innovation.
-
A.
Osaka National Research Institute
Osaka National Research Institute was a former Japanese government research institution focused on industrial science and technology that later became part of the National Institute of Advanced Industrial Science and Technology (AIST).
-
B.
Ibuka Laboratory
Ibuka Laboratory was an electronics research workshop in postwar Tokyo that became the foundation for what would later grow into Sony.
-
C.
Kyushu National Industrial Research Institute
Kyushu National Industrial Research Institute was a former Japanese government research institute focused on industrial and technological development in the Kyushu region.
-
D.
Tsukuba Center
Tsukuba Center is a major commercial and transportation hub in Tsukuba, Japan, featuring shopping, offices, and access to local and regional transit.
-
E.
Izumo Science Center
Izumo Science Center is a public science museum and educational facility in Izumo, Shimane Prefecture, featuring interactive exhibits and programs that promote hands-on learning in science and technology.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d6841c81908df6d4e501860a15 |
completed | April 29, 2026, 3:53 a.m. |
Created at: April 17, 2026, 3:43 p.m.