Triple
T5568779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mammalia |
E145943
|
entity |
| Predicate | bloodType |
P64846
|
FINISHED |
| Object | red blood cells without nuclei |
—
|
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 without nuclei | Statement: [Mammalia, bloodType, red blood cells without nuclei]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bloodType Context triple: [Mammalia, bloodType, red blood cells without nuclei]
-
A.
hasBloodTypeSystem
Indicates that an entity uses or is classified according to a particular blood type classification system (e.g., ABO, Rh).
-
B.
bloodProduced
Indicates that one entity generates or produces blood for another entity or as a result of a process.
-
C.
bloodStatus
Indicates the classification of an entity based on the type or purity of its blood or lineage.
-
D.
obtainsBloodFrom
Indicates that one entity receives or collects blood from another entity.
-
E.
guthrieClassification
Indicates a categorization relationship where an entity is assigned a class or type according to the Guthrie classification system.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0203789688190a0bab723186214ad |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b12826c8190969a584d0f53aa44 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:36 p.m.