Triple
T19515661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yakult Honsha |
E488269
|
entity |
| Predicate | hasLaboratory |
P105
|
FINISHED |
| Object | Yakult Central Institute for Microbiological Research |
—
|
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: Yakult Central Institute for Microbiological Research | Statement: [Yakult Honsha, hasLaboratory, Yakult Central Institute for Microbiological Research]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yakult Central Institute for Microbiological Research Context triple: [Yakult Honsha, hasLaboratory, Yakult Central Institute for Microbiological Research]
-
A.
Yakult Honsha
Yakult Honsha is a Japanese company best known for producing Yakult probiotic drinks and other dairy-based beverages.
-
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.
Koto Laboratory
Koto Laboratory is a Japanese game development studio established by legendary Nintendo designer Gunpei Yokoi after his departure from the company.
-
D.
Riken
Riken is a Japanese automotive parts manufacturer best known for producing piston rings and related engine components for global vehicle makers.
-
E.
Mantetsu Research Institute
Mantetsu Research Institute was a research and development institution of the South Manchuria Railway Company in Japanese-occupied Manchuria, focusing on economic, industrial, and regional studies to support colonial administration and railway operations.
- 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: Yakult Central Institute for Microbiological Research Target entity description: Yakult Central Institute for Microbiological Research is a major Japanese research center focused on probiotic microbiology, gut health, and the development of functional foods and beverages.
-
A.
Yakult Honsha
chosen
Yakult Honsha is a Japanese company best known for producing Yakult probiotic drinks and other dairy-based beverages.
-
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.
Koto Laboratory
Koto Laboratory is a Japanese game development studio established by legendary Nintendo designer Gunpei Yokoi after his departure from the company.
-
D.
Riken
Riken is a Japanese automotive parts manufacturer best known for producing piston rings and related engine components for global vehicle makers.
-
E.
Mantetsu Research Institute
Mantetsu Research Institute was a research and development institution of the South Manchuria Railway Company in Japanese-occupied Manchuria, focusing on economic, industrial, and regional studies to support colonial administration and railway operations.
- F. None of above.
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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359b90f08190b38359dc9e97e11c |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.