Triple
T21293212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aarburg |
E524848
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object |
Riken
Riken is a small municipality in the canton of Aargau in northern Switzerland.
|
E1476686
|
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: Riken | Statement: [Aarburg, neighboringMunicipality, Riken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riken Context triple: [Aarburg, neighboringMunicipality, Riken]
-
A.
Riken
Riken is a Japanese automotive parts manufacturer best known for producing piston rings and related engine components for global vehicle makers.
-
B.
RIKEN
RIKEN is Japan’s largest comprehensive research institution, renowned for its cutting-edge work in physics, chemistry, biology, medical science, and engineering.
-
C.
National Institute of Genetics
The National Institute of Genetics is a leading Japanese research institute specializing in genetics and genomics, known for pioneering work in evolutionary biology and molecular genetics.
-
D.
Ibuka Laboratory
Ibuka Laboratory was an electronics research workshop in postwar Tokyo that became the foundation for what would later grow into Sony.
-
E.
Koto Laboratory
Koto Laboratory is a Japanese game development studio established by legendary Nintendo designer Gunpei Yokoi after his departure from the company.
- 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: Riken Triple: [Aarburg, neighboringMunicipality, Riken]
Generated description
Riken is a small municipality in the canton of Aargau in northern Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Riken Target entity description: Riken is a small municipality in the canton of Aargau in northern Switzerland.
-
A.
Riken
Riken is a Japanese automotive parts manufacturer best known for producing piston rings and related engine components for global vehicle makers.
-
B.
RIKEN
RIKEN is Japan’s largest comprehensive research institution, renowned for its cutting-edge work in physics, chemistry, biology, medical science, and engineering.
-
C.
National Institute of Genetics
The National Institute of Genetics is a leading Japanese research institute specializing in genetics and genomics, known for pioneering work in evolutionary biology and molecular genetics.
-
D.
Ibuka Laboratory
Ibuka Laboratory was an electronics research workshop in postwar Tokyo that became the foundation for what would later grow into Sony.
-
E.
Koto Laboratory
Koto Laboratory is a Japanese game development studio established by legendary Nintendo designer Gunpei Yokoi after his departure from the company.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73856ba988190a8359efecea362cc |
completed | April 21, 2026, 8:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099810106c8190a2ee5789bd0380c6 |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0998d6b37881908a1b09afc1f67746 |
completed | May 17, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0999884e0481909b7ea54cd7ef87b5 |
completed | May 17, 2026, 10:33 a.m. |
Created at: April 16, 2026, 4:04 p.m.