Triple
T6326143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Board of Trustees of the American University of Beirut |
E141866
|
entity |
| Predicate | affiliatedWith |
P254
|
FINISHED |
| Object |
American University of Beirut Medical Center
The American University of Beirut Medical Center is a major academic medical and teaching hospital in Beirut, Lebanon, renowned for providing advanced healthcare services and serving as a primary clinical training site for the American University of Beirut.
|
E583590
|
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: American University of Beirut Medical Center | Statement: [Board of Trustees of the American University of Beirut, affiliatedWith, American University of Beirut Medical Center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: American University of Beirut Medical Center Context triple: [Board of Trustees of the American University of Beirut, affiliatedWith, American University of Beirut Medical Center]
-
A.
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.
-
B.
University of Jordan Hospital
The University of Jordan Hospital is a major teaching and referral medical center in Amman that serves as the primary clinical training site for the University of Jordan’s health sciences faculties.
-
C.
Al-Assad University Hospital
Al-Assad University Hospital is a major teaching and referral medical center in Damascus affiliated with Damascus University, providing advanced healthcare services and clinical training.
-
D.
American University of Beirut
The American University of Beirut is a leading private, English-language research university in Lebanon known for its rigorous academics and significant influence on higher education in the Middle East.
-
E.
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.
- 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: American University of Beirut Medical Center Triple: [Board of Trustees of the American University of Beirut, affiliatedWith, American University of Beirut Medical Center]
Generated description
The American University of Beirut Medical Center is a major academic medical and teaching hospital in Beirut, Lebanon, renowned for providing advanced healthcare services and serving as a primary clinical training site for the American University of Beirut.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: American University of Beirut Medical Center Target entity description: The American University of Beirut Medical Center is a major academic medical and teaching hospital in Beirut, Lebanon, renowned for providing advanced healthcare services and serving as a primary clinical training site for the American University of Beirut.
-
A.
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.
-
B.
University of Jordan Hospital
The University of Jordan Hospital is a major teaching and referral medical center in Amman that serves as the primary clinical training site for the University of Jordan’s health sciences faculties.
-
C.
Al-Assad University Hospital
Al-Assad University Hospital is a major teaching and referral medical center in Damascus affiliated with Damascus University, providing advanced healthcare services and clinical training.
-
D.
American University of Beirut
The American University of Beirut is a leading private, English-language research university in Lebanon known for its rigorous academics and significant influence on higher education in the Middle East.
-
E.
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.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e833a0819096000b47e776949d |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e4960ac08190bcdebde8a607d2b5 |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5e6a948c881909fa3d78408125c04 |
completed | March 27, 2026, 2:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e713ea5c81908aeb6c5776f0ae10 |
completed | March 27, 2026, 2:10 a.m. |
Created at: March 22, 2026, 4:29 p.m.