Triple
T20674886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tibetan government-in-exile |
E508131
|
entity |
| Predicate | operatesHealthSystem |
P15635
|
FINISHED |
| Object | Tibetan health services in exile |
—
|
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: Tibetan health services in exile | Statement: [Tibetan government-in-exile, operatesHealthSystem, Tibetan health services in exile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesHealthSystem Context triple: [Tibetan government-in-exile, operatesHealthSystem, Tibetan health services in exile]
-
A.
healthSystem
chosen
Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
-
B.
operatesFacility
Indicates that an entity is responsible for running, managing, or controlling the operations of a particular facility.
-
C.
healthSystemLevel
Indicates the level or tier within a health system at which a given action, service, or relationship occurs (e.g., local, regional, national).
-
D.
operatedHospitalsIn
Indicates that an entity managed or ran the operations of one or more hospitals located in a specified place or context.
-
E.
operatesTheatre
Indicates that an entity manages and runs the activities of a theatre.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cdbec48190a945261c41d810ce |
completed | April 20, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:44 a.m.