Triple
T8414617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morris Chang |
E198702
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Industrial Technology Research Institute
Industrial Technology Research Institute is a leading Taiwanese applied research and development organization that has played a key role in advancing the nation’s high-tech and semiconductor industries.
|
E732957
|
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: Industrial Technology Research Institute | Statement: [Morris Chang, employer, Industrial Technology Research Institute]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Industrial Technology Research Institute Context triple: [Morris Chang, employer, Industrial Technology Research Institute]
-
A.
National Chung-Shan Institute of Science and Technology
The National Chung-Shan Institute of Science and Technology is Taiwan’s principal government-run defense research and development organization, responsible for designing and producing a wide range of military technologies and weapon systems.
-
B.
National Institute of Advanced Industrial Science and Technology (AIST)
The National Institute of Advanced Industrial Science and Technology (AIST) is one of Japan’s largest public research organizations, conducting cutting-edge R&D in fields such as materials, energy, information technology, and robotics to support industrial innovation and societal needs.
-
C.
National Taiwan University of Science and Technology
National Taiwan University of Science and Technology is a leading public technological and vocational research university in Taiwan, renowned for its engineering, management, and applied science programs.
-
D.
Electronics and Telecommunications Research Institute
The Electronics and Telecommunications Research Institute (ETRI) is a major South Korean government-funded research organization specializing in advanced information, communications, and electronics technologies.
-
E.
Korea Research Institute of Standards and Science
The Korea Research Institute of Standards and Science is South Korea’s national metrology institute, responsible for establishing and maintaining the country’s measurement standards and supporting scientific and industrial precision.
- 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: Industrial Technology Research Institute Triple: [Morris Chang, employer, Industrial Technology Research Institute]
Generated description
Industrial Technology Research Institute is a leading Taiwanese applied research and development organization that has played a key role in advancing the nation’s high-tech and semiconductor industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Industrial Technology Research Institute Target entity description: Industrial Technology Research Institute is a leading Taiwanese applied research and development organization that has played a key role in advancing the nation’s high-tech and semiconductor industries.
-
A.
National Chung-Shan Institute of Science and Technology
The National Chung-Shan Institute of Science and Technology is Taiwan’s principal government-run defense research and development organization, responsible for designing and producing a wide range of military technologies and weapon systems.
-
B.
National Institute of Advanced Industrial Science and Technology (AIST)
The National Institute of Advanced Industrial Science and Technology (AIST) is one of Japan’s largest public research organizations, conducting cutting-edge R&D in fields such as materials, energy, information technology, and robotics to support industrial innovation and societal needs.
-
C.
National Taiwan University of Science and Technology
National Taiwan University of Science and Technology is a leading public technological and vocational research university in Taiwan, renowned for its engineering, management, and applied science programs.
-
D.
Electronics and Telecommunications Research Institute
The Electronics and Telecommunications Research Institute (ETRI) is a major South Korean government-funded research organization specializing in advanced information, communications, and electronics technologies.
-
E.
Korea Research Institute of Standards and Science
The Korea Research Institute of Standards and Science is South Korea’s national metrology institute, responsible for establishing and maintaining the country’s measurement standards and supporting scientific and industrial precision.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e328cc8190b3b038005d0bb66f |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce032a25ec819094c6346eb2a7f973 |
completed | April 2, 2026, 5:48 a.m. |
| NEDg | Description generation | batch_69ce0781859c8190bb92f41c00af459b |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce089d09c08190ba321aed4044a862 |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:06 p.m.