Triple
T3561730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tel Aviv University |
E75352
|
entity |
| Predicate | hasAffiliatedHospital |
P20607
|
FINISHED |
| Object |
Sourasky Medical Center (Ichilov Hospital)
Sourasky Medical Center (Ichilov Hospital) is a major academic and research hospital in Tel Aviv, Israel, recognized as one of the country’s leading medical centers.
|
E369097
|
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: Sourasky Medical Center (Ichilov Hospital) | Statement: [Tel Aviv University, hasAffiliatedHospital, Sourasky Medical Center (Ichilov Hospital)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sourasky Medical Center (Ichilov Hospital) Context triple: [Tel Aviv University, hasAffiliatedHospital, Sourasky Medical Center (Ichilov Hospital)]
-
A.
Sheba Medical Center
Sheba Medical Center is Israel’s largest and one of the Middle East’s leading hospitals, renowned for its advanced medical research, comprehensive clinical care, and innovation in healthcare.
-
B.
Hadassah Mount Scopus Hospital
Hadassah Mount Scopus Hospital is a major teaching and medical center in Jerusalem, Israel, affiliated with the Hebrew University and known for providing advanced, multidisciplinary healthcare services.
-
C.
Soroka University Medical Center
Soroka University Medical Center is a major teaching and research hospital in southern Israel, affiliated with Ben-Gurion University of the Negev and serving as a primary medical center for the Negev region.
-
D.
Al-Quds University Teaching Hospital
Al-Quds University Teaching Hospital is a clinical and educational medical facility affiliated with Al-Quds University that provides healthcare services while training medical students and professionals.
-
E.
LAU Medical Center–Rizk Hospital
LAU Medical Center–Rizk Hospital is a major teaching and healthcare institution in Beirut affiliated with the Lebanese American University, providing advanced medical services and clinical education.
- 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: Sourasky Medical Center (Ichilov Hospital) Triple: [Tel Aviv University, hasAffiliatedHospital, Sourasky Medical Center (Ichilov Hospital)]
Generated description
Sourasky Medical Center (Ichilov Hospital) is a major academic and research hospital in Tel Aviv, Israel, recognized as one of the country’s leading medical centers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sourasky Medical Center (Ichilov Hospital) Target entity description: Sourasky Medical Center (Ichilov Hospital) is a major academic and research hospital in Tel Aviv, Israel, recognized as one of the country’s leading medical centers.
-
A.
Sheba Medical Center
Sheba Medical Center is Israel’s largest and one of the Middle East’s leading hospitals, renowned for its advanced medical research, comprehensive clinical care, and innovation in healthcare.
-
B.
Hadassah Mount Scopus Hospital
Hadassah Mount Scopus Hospital is a major teaching and medical center in Jerusalem, Israel, affiliated with the Hebrew University and known for providing advanced, multidisciplinary healthcare services.
-
C.
Soroka University Medical Center
Soroka University Medical Center is a major teaching and research hospital in southern Israel, affiliated with Ben-Gurion University of the Negev and serving as a primary medical center for the Negev region.
-
D.
Al-Quds University Teaching Hospital
Al-Quds University Teaching Hospital is a clinical and educational medical facility affiliated with Al-Quds University that provides healthcare services while training medical students and professionals.
-
E.
LAU Medical Center–Rizk Hospital
LAU Medical Center–Rizk Hospital is a major teaching and healthcare institution in Beirut affiliated with the Lebanese American University, providing advanced medical services and clinical education.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc08bdde88190915d2f6ddf26e00e |
completed | March 8, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bba21960819094676de7c4740fd9 |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bf69741481909e3d5ed71bb0e026 |
completed | March 13, 2026, 7:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f299cfd08190948e602e8efab213 |
completed | March 13, 2026, 11:18 a.m. |
Created at: March 8, 2026, 3:21 p.m.