Triple
T10227057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pembroke Regional Hospital |
E243232
|
entity |
| Predicate | hasOutpatientService |
P82392
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Pembroke Regional Hospital, hasOutpatientService, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutpatientService Context triple: [Pembroke Regional Hospital, hasOutpatientService, yes]
-
A.
hasClinicalService
Indicates that an entity provides, offers, or is associated with a specific clinical service.
-
B.
hasAmbulatory
chosen
Indicates that an entity possesses or is provided with ambulatory (walking or outpatient) capabilities or services.
-
C.
hasHealthcareProvider
Indicates that one entity receives healthcare services or medical oversight from another entity acting as its healthcare provider.
-
D.
hasDischarge
Indicates that one entity releases, emits, or expels a substance, energy, or flow from itself.
-
E.
hasDiagnosticService
Indicates that an entity provides, is associated with, or makes use of a diagnostic service for detecting, analyzing, or identifying issues or 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69d4d1e9798c8190b437d53d48554ba1 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:17 a.m.