Triple
T19570330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thai royal family |
E489690
|
entity |
| Predicate | patronOf |
P2320
|
FINISHED |
| Object | Chulabhorn Research Institute |
—
|
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: Chulabhorn Research Institute | Statement: [Thai royal family, patronOf, Chulabhorn Research Institute]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chulabhorn Research Institute Context triple: [Thai royal family, patronOf, Chulabhorn Research Institute]
-
A.
Mahidol University
Mahidol University is one of Thailand’s leading research-intensive universities, renowned especially for its excellence in medicine, health sciences, and related fields.
-
B.
Suranaree University of Technology
Suranaree University of Technology is a public research university in Nakhon Ratchasima, Thailand, known for its strong emphasis on science, engineering, and technology education.
-
C.
Chulalongkorn University
Chulalongkorn University is Thailand’s oldest and one of its most prestigious universities, renowned for its research, academic excellence, and leadership in higher education in Southeast Asia.
-
D.
Silpakorn University
Silpakorn University is a renowned public university in Thailand, especially noted for its strong programs in fine arts and design.
-
E.
Chiang Mai University
Chiang Mai University is a leading public research university in northern Thailand known for its comprehensive academic programs and strong emphasis on regional development and culture.
- 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: Chulabhorn Research Institute Target entity description: Chulabhorn Research Institute is a leading Thai biomedical and environmental research center founded under royal initiative, known for its advanced scientific research, graduate education, and public health contributions.
-
A.
Mahidol University
Mahidol University is one of Thailand’s leading research-intensive universities, renowned especially for its excellence in medicine, health sciences, and related fields.
-
B.
Suranaree University of Technology
Suranaree University of Technology is a public research university in Nakhon Ratchasima, Thailand, known for its strong emphasis on science, engineering, and technology education.
-
C.
Chulalongkorn University
Chulalongkorn University is Thailand’s oldest and one of its most prestigious universities, renowned for its research, academic excellence, and leadership in higher education in Southeast Asia.
-
D.
Silpakorn University
Silpakorn University is a renowned public university in Thailand, especially noted for its strong programs in fine arts and design.
-
E.
Chiang Mai University
Chiang Mai University is a leading public research university in northern Thailand known for its comprehensive academic programs and strong emphasis on regional development and culture.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402043588190a99f5a55c5dcd8a6 |
completed | April 20, 2026, 3:02 p.m. |
Created at: April 10, 2026, 1:42 p.m.