Triple
T25434303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan White Part A |
E637334
|
entity |
| Predicate | diseaseFocus |
P153793
|
FINISHED |
| Object | HIV/AIDS |
—
|
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: HIV/AIDS | Statement: [Ryan White Part A, diseaseFocus, HIV/AIDS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diseaseFocus Context triple: [Ryan White Part A, diseaseFocus, HIV/AIDS]
-
A.
diseaseContext
Indicates that the relationship or action occurs within, is influenced by, or is specifically relevant to a particular disease or pathological condition.
-
B.
diseaseType
Indicates that one entity is classified as a specific type or category of disease in relation to another entity.
-
C.
humanDisease
Indicates that the subject is a disease that affects humans.
-
D.
targetsDiseaseVector
Indicates that an entity is directed at, designed to affect, or intended to control a particular disease-carrying vector organism.
-
E.
diseaseName
chosen
Indicates that the associated value specifies the name or designation of a particular disease.
- 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6dd99f88190848a5bbee795aa17 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:59 p.m.