Triple
T33205219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | probenecid |
E850001
|
entity |
| Predicate | modifiesPharmacokineticsOf |
P176186
|
FINISHED |
| Object | penicillin |
—
|
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: penicillin | Statement: [probenecid, modifiesPharmacokineticsOf, penicillin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modifiesPharmacokineticsOf Context triple: [probenecid, modifiesPharmacokineticsOf, penicillin]
-
A.
hasPharmacologicalEffect
Indicates that one entity produces a specific pharmacological effect or action on another entity.
-
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.
isProdrugOf
Indicates that one substance is a precursor form that is metabolized in the body to produce the active form of another substance.
-
D.
isMetabolizedPrimarilyIn
Indicates that the substance undergoes its main metabolic processing within the specified biological system or organ.
-
E.
mechanismOfActionStudied
Indicates that the relationship involves examining or investigating how an action, intervention, or agent produces its effects or outcomes.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6dd3b335481909e24d4eb5b0269f9 |
completed | May 3, 2026, 5:29 a.m. |
Created at: May 1, 2026, 1:30 a.m.