Triple
T33945833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surgery Department |
E870286
|
entity |
| Predicate | healthcareDomain |
P176407
|
FINISHED |
| Object | Surgical care |
—
|
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: Surgical care | Statement: [Surgery Department, healthcareDomain, Surgical care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthcareDomain Context triple: [Surgery Department, healthcareDomain, Surgical care]
-
A.
healthSystem
Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
-
B.
healthcareType
Indicates the category or kind of healthcare service, system, or coverage associated with an entity.
-
C.
medicalField
chosen
Indicates that one entity is a branch or specialty of medicine in which the other entity is practiced, studied, or categorized.
-
D.
medicalPractice
Indicates a relationship where an entity engages in or carries out the professional provision of medical care or services.
-
E.
healthcareAccess
Indicates the degree to which individuals can obtain and use needed health care services.
- 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:49 a.m.