Triple
T37634932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Propionibacterium |
E936461
|
entity |
| Predicate | CO2ProductionRole |
P36865
|
FINISHED |
| Object | formation of gas bubbles in cheese |
—
|
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: formation of gas bubbles in cheese | Statement: [Propionibacterium, CO2ProductionRole, formation of gas bubbles in cheese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CO2ProductionRole Context triple: [Propionibacterium, CO2ProductionRole, formation of gas bubbles in cheese]
-
A.
producesRole
Indicates that one entity generates, creates, or gives rise to a particular role associated with another entity.
-
B.
carbonRole
Indicates the functional role or involvement that an entity has in relation to carbon within a given process, system, or context.
-
C.
carbonateRole
Indicates a role or function that an entity has specifically in relation to carbonate (e.g., producing, modifying, transporting, or otherwise acting on carbonate).
-
D.
roleInCoco
Indicates that an entity serves a specific role or function within the context of the COCO dataset or framework.
-
E.
hasProductionRole
chosen
Indicates that an entity holds a specific role or function in the production or creation process 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.