Triple
T25306913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan State Hospital |
E634503
|
entity |
| Predicate | acceptsPatientsFrom |
P148042
|
FINISHED |
| Object | county mental health systems |
—
|
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: county mental health systems | Statement: [Metropolitan State Hospital, acceptsPatientsFrom, county mental health systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acceptsPatientsFrom Context triple: [Metropolitan State Hospital, acceptsPatientsFrom, county mental health systems]
-
A.
treatsPatientsFrom
chosen
Indicates that a healthcare provider gives medical treatment or services to patients originating from a particular location or group.
-
B.
openedForPatients
Indicates that a healthcare facility or service is currently available and accepting patients for care or treatment.
-
C.
hasPatient
Indicates that an action, event, or process involves a specific entity as the one undergoing or receiving its effects (the patient).
-
D.
receivesReferralsFrom
Indicates that one entity is the recipient of referrals that originate from another entity.
-
E.
acceptsSubmissionsFrom
Indicates that one entity receives and is willing to consider submissions (such as content, proposals, or applications) originating from another entity.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4939b66448190b85a1fcac5af0e69 |
completed | May 1, 2026, 11:50 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:25 p.m.