Triple
T2190673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xarelto |
E49852
|
entity |
| Predicate | hasProteinBinding |
P37224
|
FINISHED |
| Object | high plasma protein binding |
—
|
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: high plasma protein binding | Statement: [Xarelto, hasProteinBinding, high plasma protein binding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProteinBinding Context triple: [Xarelto, hasProteinBinding, high plasma protein binding]
-
A.
hasBindingEnergy
Indicates that one entity possesses or is characterized by a specific amount of binding energy associated with its formation or stability.
-
B.
isPegylated
Indicates that a molecule, typically a drug or therapeutic agent, has been chemically modified by the attachment of polyethylene glycol (PEG) chains.
-
C.
proteinContent
Indicates the amount or proportion of protein present in a given entity or substance.
-
D.
isNotBindingOn
Indicates that an agreement, rule, or obligation does not have legal or enforceable effect on the referenced entity.
-
E.
regulatoryInteraction
Indicates a relationship where one entity modulates, controls, or influences the activity, expression, or function of another entity through regulatory mechanisms.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda32d1881909d1fd83a751fb21c |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf9c77fc8190a323bcaf644fb2c5 |
completed | March 7, 2026, 6:03 a.m. |
Created at: March 4, 2026, 7:46 p.m.