Triple
T33205222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | probenecid |
E850001
|
entity |
| Predicate | increasesSerumConcentrationOf |
P109215
|
FINISHED |
| Object | penicillin |
—
|
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: penicillin | Statement: [probenecid, increasesSerumConcentrationOf, penicillin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: increasesSerumConcentrationOf Context triple: [probenecid, increasesSerumConcentrationOf, penicillin]
-
A.
concentration
Indicates the degree to which a substance or entity is present within a given medium, mixture, or space.
-
B.
concentrates
Indicates that one entity directs its attention, effort, or resources intensely toward a specific target, task, or area.
-
C.
concentrationParameterAffects
chosen
Indicates that a change in a concentration parameter has an influence or impact on another variable, condition, or outcome.
-
D.
increasesProductionOf
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
-
E.
isMoreSolubleIn
Indicates that one substance has a greater tendency to dissolve in a specified solvent than another substance does.
- 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_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. |
Created at: May 1, 2026, 1:30 a.m.