Triple
T30251183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryder Trauma Center |
E769203
|
entity |
| Predicate | criticalCareServices |
P29662
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Ryder Trauma Center, criticalCareServices, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criticalCareServices Context triple: [Ryder Trauma Center, criticalCareServices, Yes]
-
A.
hasIntensiveCareUnit
chosen
Indicates that a medical facility includes and operates an intensive care unit (ICU) for critically ill patients.
-
B.
emergencyCareLevel
Indicates the degree or intensity of medical attention required in an emergency situation.
-
C.
criticalInterpretation
Indicates that one entity offers an evaluative, analytical, or interpretive commentary on another (such as a text, work, or idea).
-
D.
criticalStrip
Indicates that something lies within the critical strip, the region of complex values whose real parts fall between 0 and 1.
-
E.
neonatalICULevel
Indicates the level or tier of care provided by a neonatal intensive care unit (NICU) in relation to the newborn patient.
- 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_69f224831dc08190b2e569b987264057 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6807ab42c819098d70c25bfc42ffd |
completed | May 2, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:40 p.m.