Triple
T11643010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacillales |
E276704
|
entity |
| Predicate | industrialRelevance |
P33460
|
FINISHED |
| Object | source of industrial enzymes |
—
|
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: source of industrial enzymes | Statement: [Bacillales, industrialRelevance, source of industrial enzymes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industrialRelevance Context triple: [Bacillales, industrialRelevance, source of industrial enzymes]
-
A.
industrialFocus
Indicates a relationship where an entity is primarily concerned with, specialized in, or directed toward a particular industrial sector or area of industrial activity.
-
B.
hasIndustrialSignificance
chosen
Indicates that something plays an important role or has notable impact within industrial processes, production, or applications.
-
C.
industrialCategory
Indicates the industry or sector classification to which an entity (such as a business or organization) belongs.
-
D.
usedInIndustry
Indicates that something is employed or applied within a particular industry or industrial sector.
-
E.
industrializes
Indicates the process by which an entity transforms its economy or operations from primarily agrarian or manual production to large-scale, mechanized, and industrial production.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cb4ca88190a9322f08416d3974 |
completed | April 10, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.