Triple
T3325025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young |
E69892
|
entity |
| Predicate | hasFacility |
P105
|
FINISHED |
| Object |
Young Hospital
Young Hospital is a healthcare facility serving the medical needs of the community of Young and its surrounding region.
|
E348579
|
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: Young Hospital | Statement: [Young, hasFacility, Young Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Young Hospital Context triple: [Young, hasFacility, Young Hospital]
-
A.
Riddle Hospital
Riddle Hospital is a community hospital and medical center serving patients in Delaware County, Pennsylvania.
-
B.
Mackenzie Vaughan Hospital
Mackenzie Vaughan Hospital is a modern regional healthcare facility serving the community of Maple in Vaughan, Ontario.
-
C.
Comer Children’s Hospital
Comer Children’s Hospital is a pediatric teaching hospital in Chicago affiliated with the University of Chicago, providing specialized medical care for infants, children, and adolescents.
-
D.
Backus Hospital
Backus Hospital is a regional acute care medical center serving the community of Norwich and eastern Connecticut.
-
E.
Woodstock Hospital
Woodstock Hospital is a community healthcare facility serving the medical needs of residents in and around Woodstock, Ontario.
- 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: Young Hospital Triple: [Young, hasFacility, Young Hospital]
Generated description
Young Hospital is a healthcare facility serving the medical needs of the community of Young and its surrounding region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Young Hospital Target entity description: Young Hospital is a healthcare facility serving the medical needs of the community of Young and its surrounding region.
-
A.
Riddle Hospital
Riddle Hospital is a community hospital and medical center serving patients in Delaware County, Pennsylvania.
-
B.
Mackenzie Vaughan Hospital
Mackenzie Vaughan Hospital is a modern regional healthcare facility serving the community of Maple in Vaughan, Ontario.
-
C.
Comer Children’s Hospital
Comer Children’s Hospital is a pediatric teaching hospital in Chicago affiliated with the University of Chicago, providing specialized medical care for infants, children, and adolescents.
-
D.
Backus Hospital
Backus Hospital is a regional acute care medical center serving the community of Norwich and eastern Connecticut.
-
E.
Woodstock Hospital
Woodstock Hospital is a community healthcare facility serving the medical needs of residents in and around Woodstock, Ontario.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb16ca13c8190aea8caed8ccd9b88 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a7b26248190b9bf159982d7d19e |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31e4ca140819099de4546b0cb14d6 |
completed | March 12, 2026, 8:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31ec53b848190b56ca349f53ff447 |
completed | March 12, 2026, 8:15 p.m. |
Created at: March 8, 2026, 3:11 p.m.