Triple
T32332220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Medicine (Philippine General Hospital) |
E826081
|
entity |
| Predicate | hospitalTypeServed |
P30483
|
FINISHED |
| Object | tertiary government hospital |
—
|
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: tertiary government hospital | Statement: [Department of Medicine (Philippine General Hospital), hospitalTypeServed, tertiary government hospital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hospitalTypeServed Context triple: [Department of Medicine (Philippine General Hospital), hospitalTypeServed, tertiary government hospital]
-
A.
hasHospitalType
chosen
Indicates that a hospital is classified as belonging to a specific type or category (e.g., general, specialized, teaching).
-
B.
hospitalLevel
Indicates the classification or rank of a hospital within a defined healthcare system or hierarchy.
-
C.
designatedAsFlagshipHospitalFor
Indicates that one hospital has been officially selected or recognized as the primary or leading flagship institution for another entity (such as a health system, region, or organization).
-
D.
hospitalLocation
Indicates the geographic place or address where a hospital is situated.
-
E.
healthcareType
Indicates the category or kind of healthcare service, system, or coverage associated with an 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bdf0d6988190bd745ece41f30661 |
completed | May 3, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69f6b633e0c88190a727bb7d2751e2d5 |
completed | May 3, 2026, 2:43 a.m. |
Created at: May 1, 2026, 12:47 a.m.