Triple
T3920009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood Presbyterian Medical Center |
E88934
|
entity |
| Predicate | typeOfEmergencyDepartment |
P33503
|
FINISHED |
| Object | 24-hour emergency department |
—
|
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: 24-hour emergency department | Statement: [Hollywood Presbyterian Medical Center, typeOfEmergencyDepartment, 24-hour emergency department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEmergencyDepartment Context triple: [Hollywood Presbyterian Medical Center, typeOfEmergencyDepartment, 24-hour emergency department]
-
A.
emergencyDepartment
Indicates that an entity is associated with, located in, or functions as an emergency department within a healthcare or medical context.
-
B.
typeOfEmergencyService
chosen
Indicates the specific category or kind of emergency service associated with or provided in a given situation.
-
C.
emergencyOffice
Indicates that an office or location serves as an emergency contact point or coordination center for urgent or crisis situations.
-
D.
emergencyDefinitionSection
Indicates a section that defines or explains what constitutes an emergency within a given context or document.
-
E.
admissionType
Indicates the category or manner in which an entity (such as a person or case) is formally accepted or admitted into a system, institution, or process.
- F. None of above.
Provenance (3 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee75eedcc81908088ff4dbb8be56b |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.