Triple
T7695153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABO blood group system |
E174349
|
entity |
| Predicate | antigensExpressedOn |
P78760
|
FINISHED |
| Object | red blood 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: red blood cells | Statement: [ABO blood group system, antigensExpressedOn, red blood cells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: antigensExpressedOn Context triple: [ABO blood group system, antigensExpressedOn, red blood cells]
-
A.
antigen
Indicates that one entity functions as an antigen in relation to another, typically provoking or being recognized by an immune response.
-
B.
antibodyType
Indicates the specific class or subtype of an antibody involved in the described relationship or context.
-
C.
associatedWithAntibody
Indicates a relationship where something is linked or connected to a specific antibody, such as being produced by it, targeted by it, or otherwise functionally related to it.
-
D.
targetOrganism
Indicates that an action, process, or effect is directed toward or intended to impact a particular organism.
-
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. chosen
Provenance (4 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c706d0c1708190a3e74523997814b8 |
completed | March 27, 2026, 10:38 p.m. |
Created at: March 27, 2026, 4:02 p.m.