Triple
T33205988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St John’s wort |
E850014
|
entity |
| Predicate | inducesTransporter |
P176409
|
FINISHED |
| Object | P-glycoprotein |
—
|
NE NERFINISHED |
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: P-glycoprotein | Statement: [St John’s wort, inducesTransporter, P-glycoprotein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inducesTransporter Context triple: [St John’s wort, inducesTransporter, P-glycoprotein]
-
A.
isTransport
Indicates that one entity serves as a means or method for conveying or carrying another entity from one place to another.
-
B.
transportedWith
Indicates that one entity was moved or carried together with another entity as part of the same transport event.
-
C.
hasTransporters
Indicates that one entity possesses, provides, or is equipped with one or more means of transportation for another entity or purpose.
-
D.
transportedFor
Indicates that one entity was moved or carried from one place to another for the benefit, use, or purpose of another entity or activity.
-
E.
usesTransport
Indicates that an entity employs or relies on a particular mode or means of transportation to move from one place to another.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e029f0f88190b1f88d82a4a2cabd |
completed | May 3, 2026, 5:42 a.m. |
Created at: May 1, 2026, 1:30 a.m.