Triple
T28386836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HIV-1 |
E719039
|
entity |
| Predicate | immuneSystemEffect |
P40373
|
FINISHED |
| Object | depletion of CD4+ T cells |
—
|
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: depletion of CD4+ T cells | Statement: [HIV-1, immuneSystemEffect, depletion of CD4+ T cells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immuneSystemEffect Context triple: [HIV-1, immuneSystemEffect, depletion of CD4+ T cells]
-
A.
immunity
Indicates that an entity is protected against or not affected by a particular agent, condition, or influence.
-
B.
immunityType
Indicates the specific kind or category of immunity that applies in a given context (e.g., legal, diplomatic, medical).
-
C.
healthEffect
Indicates the impact or consequence that one entity has on the health or well-being of another.
-
D.
effectOnSystem
chosen
Indicates the influence, change, or impact that one entity, action, or condition has on the state or behavior of a system.
-
E.
immuneResponseType
Indicates the specific kind or category of immune reaction that occurs in response to a particular stimulus or agent.
- 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64cbb06108190b832b66c1d96b308 |
completed | May 2, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 1:10 a.m.