Triple
T5967288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beni |
E132782
|
entity |
| Predicate | healthInfrastructure |
P65774
|
FINISHED |
| Object | Ebola treatment centers |
—
|
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: Ebola treatment centers | Statement: [Beni, healthInfrastructure, Ebola treatment centers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthInfrastructure Context triple: [Beni, healthInfrastructure, Ebola treatment centers]
-
A.
healthSystem
Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
-
B.
hasPublicHealthInfrastructure
chosen
Indicates that an entity possesses systems, facilities, and organizational structures dedicated to protecting and promoting public health.
-
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.
numberOfHospitals
Indicates the total count of hospitals associated with a given entity or within a specified context.
-
E.
significantInfrastructure
Indicates that an entity constitutes an important or critical piece of infrastructure within a system, network, or region.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:03 p.m.