Triple
T10291962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | warfarin |
E241385
|
entity |
| Predicate | decreasesSynthesisOf |
P37861
|
FINISHED |
| Object | coagulation factor II (prothrombin) |
—
|
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: coagulation factor II (prothrombin) | Statement: [warfarin, decreasesSynthesisOf, coagulation factor II (prothrombin)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decreasesSynthesisOf Context triple: [warfarin, decreasesSynthesisOf, coagulation factor II (prothrombin)]
-
A.
reduces
Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
-
B.
cutDown
Indicates that an agent causes something standing or elevated (such as a tree or structure) to fall or be reduced by cutting.
-
C.
declineIn
Indicates a relationship where one entity experiences a decrease or reduction in the level, amount, or intensity of another entity over time.
-
D.
inhibits
chosen
Indicates that one entity prevents, restrains, or reduces the activity, effect, or occurrence of another entity.
-
E.
decliningAs
Indicates that one entity is decreasing in value, intensity, or importance relative to another over time.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:42 a.m.