Triple
T11466663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowenstein–Jensen medium |
E271796
|
entity |
| Predicate | pyruvateEffect |
P68586
|
FINISHED |
| Object | enhances growth of Mycobacterium bovis |
—
|
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: enhances growth of Mycobacterium bovis | Statement: [Lowenstein–Jensen medium, pyruvateEffect, enhances growth of Mycobacterium bovis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pyruvateEffect Context triple: [Lowenstein–Jensen medium, pyruvateEffect, enhances growth of Mycobacterium bovis]
-
A.
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.
-
B.
predictedEffect
chosen
Indicates that one entity is expected to cause, influence, or result in a particular outcome or consequence for another entity.
-
C.
fuelEffect
Indicates the influence or impact that a given fuel has on a process, system, or outcome.
-
D.
foodEffect
Indicates how consuming a particular food influences or changes another entity, such as an organism, condition, or process.
-
E.
metabolismType
Indicates the kind of metabolic process or pathway an entity uses to obtain and transform energy or 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.