Triple
T26039313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Barbara Cottage Hospital |
E647640
|
entity |
| Predicate | serviceAreaRole |
P167736
|
FINISHED |
| Object | regional referral center |
—
|
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: regional referral center | Statement: [Santa Barbara Cottage Hospital, serviceAreaRole, regional referral center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceAreaRole Context triple: [Santa Barbara Cottage Hospital, serviceAreaRole, regional referral center]
-
A.
serviceAreaName
Indicates the designated name of the geographic or functional area that a service covers or operates within.
-
B.
areaOfService
Indicates the geographic or functional region within which a service is provided or applicable.
-
C.
serviceAreaRelationship
Indicates a relationship in which one entity defines, covers, or is responsible for providing services within a specific geographic or functional area associated with another entity.
-
D.
areaServedType
Indicates the type or category of area that is served by an entity or service.
-
E.
areaServed
Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
- F. None of above. chosen
Provenance (4 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f66cf092c881908d7034c9c2bc61d5 |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 22, 2026, 9:08 a.m.