Triple
T11074642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruxience |
E261831
|
entity |
| Predicate | hasEffectOnImmuneSystem |
P54031
|
FINISHED |
| Object | reduces B-cell mediated immune responses |
—
|
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: reduces B-cell mediated immune responses | Statement: [Ruxience, hasEffectOnImmuneSystem, reduces B-cell mediated immune responses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEffectOnImmuneSystem Context triple: [Ruxience, hasEffectOnImmuneSystem, reduces B-cell mediated immune responses]
-
A.
immunity
Indicates that an entity is protected against or not affected by a particular agent, condition, or influence.
-
B.
immuneResponseType
chosen
Indicates the specific kind or category of immune reaction that occurs in response to a particular stimulus or agent.
-
C.
hasRoleInImmunity
Indicates that an entity functions in or contributes to an immune-related process or mechanism.
-
D.
healthEffect
Indicates the impact or consequence that one entity has on the health or well-being of another.
-
E.
preExistingImmunityInHumans
Indicates that humans already possess some level of immune protection against a particular agent, condition, or exposure prior to a specified event or intervention.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994efb608190a81bc8c4d16ddbd0 |
completed | April 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69d74415403c81909778bcd829e8832e |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.