Triple
T33456850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABCG2 |
E856800
|
entity |
| Predicate | transportSubstrate |
P198706
|
FINISHED |
| Object | anticancer drugs |
—
|
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: anticancer drugs | Statement: [ABCG2, transportSubstrate, anticancer drugs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportSubstrate Context triple: [ABCG2, transportSubstrate, anticancer drugs]
-
A.
transportSubmode
Indicates a more specific categorization of a general transport mode, defining the particular sub-type or variant of transportation being used.
-
B.
transportAgnostic
Indicates that the relationship or action is independent of, and unaffected by, the specific transport mechanism or communication channel used.
-
C.
transportHubType
Indicates the specific category or kind of transport hub associated with an entity (e.g., airport, train station, bus terminal).
-
D.
transportInterface
Indicates a relationship where one entity serves as the medium or mechanism through which another entity is transported or conveyed.
-
E.
transportFor
Indicates a relationship where one entity serves as the means or service used to move another entity 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69feff70fbec8190b1ff5f943f29613e |
completed | May 9, 2026, 9:33 a.m. |
| PD | Predicate disambiguation | batch_69fefbcd5b7881909cfe52b32f8a4301 |
completed | May 9, 2026, 9:18 a.m. |
| PDg | Predicate description generation | batch_69feff703fec8190ab7d0633e0cc5459 |
completed | May 9, 2026, 9:33 a.m. |
Created at: May 1, 2026, 1:37 a.m.