Triple
T10952604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medical Campus |
E258761
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Medical Campus
Medical Campus is a specialized university or institutional area dedicated to medical education, research, and healthcare facilities.
|
E894829
|
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: Medical Campus | Statement: [Medical Campus, name, Medical Campus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medical Campus Context triple: [Medical Campus, name, Medical Campus]
-
A.
Medical Campus
The Medical Campus is Boston University's dedicated hub for health sciences education, research, and clinical care.
-
B.
Medical Campus
Medical Campus is the dedicated health sciences and clinical training campus of the University of Khartoum in Sudan.
-
C.
Medical Sciences Campus
The Medical Sciences Campus is a specialized branch of Université Saint-Joseph de Beyrouth dedicated to education and research in medicine and health-related disciplines.
-
D.
Medical School Campus
The Medical School Campus is the dedicated health sciences and clinical training hub of the University of the Witwatersrand in Johannesburg, South Africa.
-
E.
Medical Center Campus
Medical Center Campus is Georgetown University's dedicated hub for medical education, clinical training, and biomedical research.
- 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: Medical Campus Triple: [Medical Campus, name, Medical Campus]
Generated description
Medical Campus is a specialized university or institutional area dedicated to medical education, research, and healthcare facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Medical Campus Target entity description: Medical Campus is a specialized university or institutional area dedicated to medical education, research, and healthcare facilities.
-
A.
Medical Campus
The Medical Campus is Boston University's dedicated hub for health sciences education, research, and clinical care.
-
B.
Medical Campus
Medical Campus is the dedicated health sciences and clinical training campus of the University of Khartoum in Sudan.
-
C.
Medical Sciences Campus
The Medical Sciences Campus is a specialized branch of Université Saint-Joseph de Beyrouth dedicated to education and research in medicine and health-related disciplines.
-
D.
Medical School Campus
The Medical School Campus is the dedicated health sciences and clinical training hub of the University of the Witwatersrand in Johannesburg, South Africa.
-
E.
Medical Center Campus
Medical Center Campus is Georgetown University's dedicated hub for medical education, clinical training, and biomedical research.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fcfb3c8190b7823869670184a6 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c64089c8190a9c0aa63d7e7dc64 |
completed | April 17, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69e24543bd2c8190a3c807baa76c30f6 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e25d11ef24819091e730ae2416a058 |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 8, 2026, 9:23 p.m.