Triple
T299529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microbiota |
E6167
|
entity |
| Predicate | genusAuthority |
P7386
|
FINISHED |
| Object | Kom. |
—
|
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: Kom. | Statement: [Microbiota, genusAuthority, Kom.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genusAuthority Context triple: [Microbiota, genusAuthority, Kom.]
-
A.
taxonomicAuthority
chosen
Indicates the entity that formally described, named, or classified another entity in a taxonomic context.
-
B.
genusIncludes
Indicates that a particular genus contains or encompasses the specified subordinate taxonomic entities (such as species or subspecies).
-
C.
scientificName
Indicates the formal taxonomic name assigned to an organism according to scientific naming conventions.
-
D.
binomialName
Indicates the formal scientific name assigned to a species, typically composed of its genus and specific epithet.
-
E.
typeSpecies
Indicates that a species is the designated type species that defines and anchors the taxonomic concept of a higher-level group (such as a genus).
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e9398df08190af40063a2de7a1d0 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.