Triple
T17079022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastman Dental Dispensary |
E414421
|
entity |
| Predicate | typeOfHealthcareFacility |
P81089
|
FINISHED |
| Object | outpatient clinic |
—
|
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: outpatient clinic | Statement: [Eastman Dental Dispensary, typeOfHealthcareFacility, outpatient clinic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfHealthcareFacility Context triple: [Eastman Dental Dispensary, typeOfHealthcareFacility, outpatient clinic]
-
A.
primaryFacilityType
chosen
Indicates the main or predominant type or category of facility associated with an entity.
-
B.
healthcareType
Indicates the category or kind of healthcare service, system, or coverage associated with an entity.
-
C.
hasHospitalType
Indicates that a hospital is classified as belonging to a specific type or category (e.g., general, specialized, teaching).
-
D.
usedAtFacilityType
Indicates that something is utilized or applied within a facility of a specified type.
-
E.
isAcuteCareFacility
Indicates that the entity functions as a healthcare facility providing short-term, intensive medical treatment for patients with severe or urgent conditions.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe0e9cc8190b6c4b6065b474d1d |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.