Triple
T11693275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eisenhower Health |
E277921
|
entity |
| Predicate | hasOutpatientClinic |
P82392
|
FINISHED |
| Object | Eisenhower Health primary care clinics in Coachella Valley |
—
|
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: Eisenhower Health primary care clinics in Coachella Valley | Statement: [Eisenhower Health, hasOutpatientClinic, Eisenhower Health primary care clinics in Coachella Valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutpatientClinic Context triple: [Eisenhower Health, hasOutpatientClinic, Eisenhower Health primary care clinics in Coachella Valley]
-
A.
hasAmbulatory
chosen
Indicates that an entity possesses or is provided with ambulatory (walking or outpatient) capabilities or services.
-
B.
hasMedicalCenter
Indicates that an entity possesses, hosts, or is associated with a medical center facility.
-
C.
hasNumberOfClinics
Indicates the quantity of clinics associated with or belonging to a given entity.
-
D.
hasHealthcareProvider
Indicates that one entity receives healthcare services or medical oversight from another entity acting as its healthcare provider.
-
E.
hasAffiliatedHospital
Indicates that one entity (typically a medical professional, clinic, or organization) is formally connected or associated with a particular hospital for professional or operational purposes.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47b9eb48190976a35e91e25b56b |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7b30948190b616a9db5c5488d5 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.