Triple
T6233220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advocate Lutheran General Hospital |
E139406
|
entity |
| Predicate | hasNeonatalICULevel |
P64825
|
FINISHED |
| Object | Level III |
—
|
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: Level III | Statement: [Advocate Lutheran General Hospital, hasNeonatalICULevel, Level III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeonatalICULevel Context triple: [Advocate Lutheran General Hospital, hasNeonatalICULevel, Level III]
-
A.
neonatalICULevel
chosen
Indicates the level or tier of care provided by a neonatal intensive care unit (NICU) in relation to the newborn patient.
-
B.
hasIntensiveCareUnit
Indicates that a medical facility includes and operates an intensive care unit (ICU) for critically ill patients.
-
C.
hasICD10Code
Indicates that an entity is associated with a specific ICD-10 diagnostic code used for classifying diseases and health conditions.
-
D.
isOnlyLevelITraumaCenterFor
Indicates that one entity serves as the sole Level I trauma center available to another specified region or population.
-
E.
hospitalizedIn
Indicates that a person or patient is admitted for medical care and staying as an inpatient in a specified hospital or healthcare facility.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062efa25c8190a54f5a6f5b5ad24f |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c05601de6481909d0880048fd7b49a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:22 p.m.