Triple
T21084221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iranian universities |
E519444
|
entity |
| Predicate | includeInstitution |
P3814
|
FINISHED |
| Object | Iran University of Medical Sciences |
—
|
NE NERFINISHED |
How this triple was built (3 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: Iran University of Medical Sciences | Statement: [Iranian universities, includeInstitution, Iran University of Medical Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iran University of Medical Sciences Context triple: [Iranian universities, includeInstitution, Iran University of Medical Sciences]
-
A.
Tehran University of Medical Sciences
Tehran University of Medical Sciences is Iran’s leading medical university and a major center for medical education, research, and healthcare services in Tehran.
-
B.
Shiraz University of Medical Sciences
Shiraz University of Medical Sciences is a major public medical university and healthcare education center located in the city of Shiraz in southern Iran.
-
C.
Mashhad University of Medical Sciences
Mashhad University of Medical Sciences is a major Iranian public medical university and healthcare institution based in the city of Mashhad, known for its education, research, and extensive network of teaching hospitals.
-
D.
Sabzevar University of Medical Sciences
Sabzevar University of Medical Sciences is a public medical university in Sabzevar, Iran, specializing in training healthcare professionals and conducting medical research.
-
E.
Tabriz University of Medical Sciences
Tabriz University of Medical Sciences is a major public medical university in Tabriz, Iran, known for training healthcare professionals and conducting medical research.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iran University of Medical Sciences Target entity description: Iran University of Medical Sciences is a major public medical university in Tehran, Iran, known for its education, research, and healthcare services in medicine and allied health sciences.
-
A.
Tehran University of Medical Sciences
Tehran University of Medical Sciences is Iran’s leading medical university and a major center for medical education, research, and healthcare services in Tehran.
-
B.
Shiraz University of Medical Sciences
Shiraz University of Medical Sciences is a major public medical university and healthcare education center located in the city of Shiraz in southern Iran.
-
C.
Mashhad University of Medical Sciences
Mashhad University of Medical Sciences is a major Iranian public medical university and healthcare institution based in the city of Mashhad, known for its education, research, and extensive network of teaching hospitals.
-
D.
Sabzevar University of Medical Sciences
Sabzevar University of Medical Sciences is a public medical university in Sabzevar, Iran, specializing in training healthcare professionals and conducting medical research.
-
E.
Tabriz University of Medical Sciences
Tabriz University of Medical Sciences is a major public medical university in Tabriz, Iran, known for training healthcare professionals and conducting medical research.
- F. None of above. chosen
Provenance (2 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e70948704481908b8b75a2ecc42bb6 |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:49 p.m.