Triple
T11466958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firmicutes |
E271802
|
entity |
| Predicate | includesOrganismsInvolvedIn |
P10920
|
FINISHED |
| Object | fermentation |
—
|
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: fermentation | Statement: [Firmicutes, includesOrganismsInvolvedIn, fermentation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesOrganismsInvolvedIn Context triple: [Firmicutes, includesOrganismsInvolvedIn, fermentation]
-
A.
hasOrganism
Indicates that one entity is an organism associated with, contained in, or otherwise possessed by another entity.
-
B.
containsModelOrganisms
Indicates that one entity includes or incorporates model organisms as part of its contents or composition.
-
C.
studiedOrganism
Indicates that an entity conducted study or research on a particular organism.
-
D.
includesSpecies
chosen
Indicates that one entity contains or encompasses one or more species as part of its composition or scope.
-
E.
targetOrganism
Indicates that an action, process, or effect is directed toward or intended to impact a particular organism.
- 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.