Triple
T16318752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albendazole |
E396236
|
entity |
| Predicate | hasMetabolite |
P97057
|
FINISHED |
| Object | albendazole sulfoxide |
—
|
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: albendazole sulfoxide | Statement: [Albendazole, hasMetabolite, albendazole sulfoxide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetabolite Context triple: [Albendazole, hasMetabolite, albendazole sulfoxide]
-
A.
hasActiveMetabolite
chosen
Indicates that a substance produces one or more metabolites that remain pharmacologically active in the body.
-
B.
isMetabolizedBy
Indicates that a substance is biochemically broken down or transformed through metabolic processes carried out by a specified organism, cell type, or enzyme system.
-
C.
isMetabolizedExtent
Indicates the degree or proportion to which one substance is metabolized by another biological system or agent.
-
D.
hasSubstance
Indicates that one entity contains, consists of, or is composed of a particular substance or material.
-
E.
hasNutrientStatus
Indicates that an entity possesses a particular nutritional condition or level, such as being deficient, sufficient, or excessive in specific nutrients.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b3e3e081908a996b3e57ca4e32 |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.