Triple
T11069904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mansoura University Hospitals |
E261716
|
entity |
| Predicate | hasPatientRole |
P97635
|
FINISHED |
| Object | referral center for complex cases |
—
|
LITERAL 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: referral center for complex cases | Statement: [Mansoura University Hospitals, hasPatientRole, referral center for complex cases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPatientRole Context triple: [Mansoura University Hospitals, hasPatientRole, referral center for complex cases]
-
A.
hasPatient
Indicates that an action, event, or process involves a specific entity as the one undergoing or receiving its effects (the patient).
-
B.
hasPatientGroup
Indicates a relationship in which an entity (such as a study, treatment, or clinical activity) is associated with a specific group of patients it involves or targets.
-
C.
hasPatientIntakeScope
Indicates that an entity is associated with, or operates within, the defined scope of patient intake activities or processes.
-
D.
hasNurse
Indicates that an entity is assigned or associated with a nurse who provides care or medical support to it.
-
E.
hasHealthcareProvider
Indicates that one entity receives healthcare services or medical oversight from another entity acting as its healthcare provider.
- F. None of above. chosen
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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799221e848190b0f86ae3eb5e3e02 |
completed | April 9, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750c99f9881908ee2b01b6ce4b3a1 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.