Triple
T28818163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proteobacteria |
E727687
|
entity |
| Predicate | includesMethanotrophs |
P198106
|
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, includesMethanotrophs, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesMethanotrophs Context triple: [Proteobacteria, includesMethanotrophs, yes]
-
A.
containsMethylotrophicMembers
chosen
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).
-
B.
includesNitrifyingBacteria
Indicates that the subject contains or incorporates nitrifying bacteria as part of its composition or system.
-
C.
includesSulfurOxidizingBacteria
Indicates that the subject contains or is associated with sulfur-oxidizing bacteria as part of its composition, community, or environment.
-
D.
includesThermotolerantSpecies
Indicates that the referenced group, environment, or collection contains at least one species capable of tolerating relatively high temperatures.
-
E.
treatsBacteriaAndArchaeaAs
Indicates treating bacteria and archaea in the same way or as equivalent for a given purpose, without distinguishing between them.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
Created at: April 28, 2026, 6:33 a.m.