Triple
T7550598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaweah Health Medical Center |
E178521
|
entity |
| Predicate | traumaCenter |
P28274
|
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: [Kaweah Health Medical Center, traumaCenter, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traumaCenter Context triple: [Kaweah Health Medical Center, traumaCenter, yes]
-
A.
hasTraumaCenter
chosen
Indicates that an entity (such as a hospital or facility) includes or is equipped with a designated trauma center capable of providing specialized emergency care for severe injuries.
-
B.
trauma
Indicates that an entity has experienced a deeply distressing or harmful event or series of events that cause lasting psychological or emotional impact.
-
C.
traumaLevel
Indicates the degree or severity of trauma experienced or present in relation to an entity or event.
-
D.
isOnlyLevelITraumaCenterFor
Indicates that one entity serves as the sole Level I trauma center available to another specified region or population.
-
E.
rescueCasualties
Indicates performing actions to locate, assist, and remove injured or endangered individuals from a hazardous or emergency situation.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b50e5c8190817c1e968294d1ad |
completed | March 27, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69c6f4daad6c8190af2b8ae88d2c8cb7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:49 p.m.