Triple
T3602538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston University |
E76289
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object | Medical Campus |
E76290
|
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: Medical Campus | Statement: [Boston University, hasCampus, Medical Campus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medical Campus Context triple: [Boston University, hasCampus, Medical Campus]
-
A.
Medical Campus
Medical Campus is the dedicated health sciences and clinical training campus of the University of Khartoum in Sudan.
-
B.
Medical Campus
chosen
The Medical Campus is Boston University's dedicated hub for health sciences education, research, and clinical care.
-
C.
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.
-
D.
Medical Center Campus
Medical Center Campus is Georgetown University's dedicated hub for medical education, clinical training, and biomedical research.
-
E.
Medical Education Campus
Medical Education Campus is a specialized branch of Northern Virginia Community College focused on training students for careers in health and medical professions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1dd264c819098796f5f50f251be |
completed | March 8, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4031dce448190b112ba4d5fa16ee0 |
completed | March 13, 2026, 12:29 p.m. |
Created at: March 8, 2026, 3:22 p.m.