Triple
T4773124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camden Clark Medical Center |
E105978
|
entity |
| Predicate | traumaCare |
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: [Camden Clark Medical Center, traumaCare, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traumaCare Context triple: [Camden Clark Medical Center, traumaCare, yes]
-
A.
trauma
Indicates that an entity has experienced a deeply distressing or harmful event or series of events that cause lasting psychological or emotional impact.
-
B.
rescueCasualties
Indicates performing actions to locate, assist, and remove injured or endangered individuals from a hazardous or emergency situation.
-
C.
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.
-
D.
traumaLevel
Indicates the degree or severity of trauma experienced or present in relation to an entity or event.
-
E.
resultOfEmergency
Indicates that something occurs or exists as a direct consequence of an emergency situation or event.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd655f98b0819088c05c5502ecf2cd |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6229d8448190a271719e5e30fd82 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.