Triple
T10953212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UofK |
E258774
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object | Medical Campus |
E258761
|
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: [UofK, hasCampus, Medical Campus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medical Campus Context triple: [UofK, hasCampus, Medical Campus]
-
A.
Medical Campus
chosen
Medical Campus is the dedicated health sciences and clinical training campus of the University of Khartoum in Sudan.
-
B.
Medical Campus
The Medical Campus is Boston University's dedicated hub for health sciences education, research, and clinical care.
-
C.
Medical Campus
Medical Campus is a specialized university or institutional area dedicated to medical education, research, and healthcare facilities.
-
D.
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.
-
E.
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.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fe4cfc81909032296c31e077f0 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d733f7d88190b45df5c155ff5a46 |
completed | April 18, 2026, 12:58 a.m. |
Created at: April 8, 2026, 9:23 p.m.