Triple
T23205809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaetomiaceae |
E580449
|
entity |
| Predicate | enzymeProduction |
P67838
|
FINISHED |
| Object | cellulases |
—
|
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: cellulases | Statement: [Chaetomiaceae, enzymeProduction, cellulases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enzymeProduction Context triple: [Chaetomiaceae, enzymeProduction, cellulases]
-
A.
increasesProductionOf
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
-
B.
chemicalTypeProduced
chosen
Indicates that a process, reaction, or entity results in the production of a specific type or class of chemical.
-
C.
isBiosynthesizedFrom
Indicates that one substance is produced through a biological synthesis process using another substance as its precursor or starting material.
-
D.
fermentationAgent
Indicates that one entity serves as the agent or catalyst that carries out the fermentation process on another entity.
-
E.
helpsProduce
Indicates that one entity contributes to or facilitates the creation, generation, or production of another entity.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907cd62c8190afee1e963b170727 |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:07 p.m.