Triple
T2596053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tel HaShomer |
E58232
|
entity |
| Predicate | hasEmergencyRole |
P31830
|
FINISHED |
| Object | national medical emergency center (via Sheba Medical Center) |
E102848
|
NE FINISHED |
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: national medical emergency center (via Sheba Medical Center) | Statement: [Tel HaShomer, hasEmergencyRole, national medical emergency center (via Sheba Medical Center)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: national medical emergency center (via Sheba Medical Center) Context triple: [Tel HaShomer, hasEmergencyRole, national medical emergency center (via Sheba Medical Center)]
-
A.
Sheba Medical Center
chosen
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.
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.
-
C.
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.
-
D.
Kupat Holim Clalit
Kupat Holim Clalit is Israel’s largest public health maintenance organization, providing comprehensive medical services to millions of members nationwide.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmergencyRole Context triple: [Tel HaShomer, hasEmergencyRole, national medical emergency center (via Sheba Medical Center)]
-
A.
hasEmergencyServices
Indicates that the subject provides or is equipped with emergency response services (such as police, fire, or medical assistance).
-
B.
emergencyRole
chosen
Indicates that an entity holds a specific function, responsibility, or authority in emergency or crisis situations.
-
C.
hasSafetyRole
Indicates that an entity holds a responsibility or function related to safety within a given context or system.
-
D.
hasEmergencySystems
Indicates that the subject is equipped with or includes systems designed to detect, respond to, or manage emergency situations.
-
E.
emergencyPowerRole
Indicates that an entity holds a role or responsibility specifically related to emergency power functions or authority.
- F. None of above.
Provenance (4 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42b3cd4819093b2cab78de1f66c |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83c798088190944e7d754aa9aa06 |
completed | March 10, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.