Triple
T28818167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proteobacteria |
E727687
|
entity |
| Predicate | includesPurpleNonsulfurBacteria |
P199555
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Proteobacteria, includesPurpleNonsulfurBacteria, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPurpleNonsulfurBacteria Context triple: [Proteobacteria, includesPurpleNonsulfurBacteria, yes]
-
A.
groupsProkaryotesIn
Indicates that prokaryotic organisms are classified or organized within a specified group or category.
-
B.
includesSulfurOxidizingBacteria
Indicates that the subject contains or is associated with sulfur-oxidizing bacteria as part of its composition, community, or environment.
-
C.
includesEntericBacteria
Indicates that the subject contains or is associated with enteric (intestinal) bacteria.
-
D.
treatsBacteriaAndArchaeaAs
Indicates treating bacteria and archaea in the same way or as equivalent for a given purpose, without distinguishing between them.
-
E.
containsMethylotrophicMembers
Indicates that the group or taxon includes one or more members capable of methylotrophic metabolism (using single-carbon compounds such as methanol or methane as energy and/or carbon sources).
- F. None of above. chosen
Provenance (4 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69ff45793d5c81909dc503ad1f714ee2 |
completed | May 9, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69ff41cb0e088190a6e9b03cb20e5fad |
completed | May 9, 2026, 2:16 p.m. |
| PDg | Predicate description generation | batch_69ff45782cb88190b604811e4d724382 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 28, 2026, 6:33 a.m.