Triple
T5926937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katwa |
E131834
|
entity |
| Predicate | hasEbolaTreatmentCenters |
P65774
|
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: [Katwa, hasEbolaTreatmentCenters, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEbolaTreatmentCenters Context triple: [Katwa, hasEbolaTreatmentCenters, yes]
-
A.
hasTraumaCenter
Indicates that an entity (such as a hospital or facility) includes or is equipped with a designated trauma center capable of providing specialized emergency care for severe injuries.
-
B.
hasPublicHealthInfrastructure
chosen
Indicates that an entity possesses systems, facilities, and organizational structures dedicated to protecting and promoting public health.
-
C.
hasDiseaseSurveillance
Indicates that an entity is responsible for or engaged in monitoring, detecting, and tracking the occurrence or spread of diseases in a population or system.
-
D.
hasResearchCentersIn
Indicates that an entity maintains or operates research centers located within a specified place or region.
-
E.
hasResearchCenters
Indicates that an entity possesses, hosts, or is associated with one or more research centers.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.