Triple
T26846413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine, Chiang Mai University |
E675936
|
entity |
| Predicate | affiliatedHospital |
P465
|
FINISHED |
| Object |
Chiangrai Prachanukroh Hospital
Chiangrai Prachanukroh Hospital is a major regional medical center in Chiang Rai Province, Thailand, serving as a key teaching and clinical training site for the Faculty of Medicine at Chiang Mai University.
|
E1755587
|
NE FINISHED |
How this triple was built (2 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: Chiangrai Prachanukroh Hospital | Statement: [Faculty of Medicine, Chiang Mai University, affiliatedHospital, Chiangrai Prachanukroh Hospital]
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: Chiangrai Prachanukroh Hospital Triple: [Faculty of Medicine, Chiang Mai University, affiliatedHospital, Chiangrai Prachanukroh Hospital]
Generated description
Chiangrai Prachanukroh Hospital is a major regional medical center in Chiang Rai Province, Thailand, serving as a key teaching and clinical training site for the Faculty of Medicine at Chiang Mai University.
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_69eee9b8d5e88190a07d3455c0fbb21f |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61b4d31688190bd9b01949774a217 |
completed | May 2, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a123a9dd4088190a9cea6249f6fc0de |
completed | May 23, 2026, 11:39 p.m. |
| NEDg | Description generation | batch_6a123bbe49cc81908763b340636d7a60 |
completed | May 23, 2026, 11:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a123f9c03f881908e9cc1bc292b3e96 |
completed | May 24, 2026, midnight |
Created at: April 27, 2026, 5:12 a.m.