Triple
T3872236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolphi, 1808 |
E92412
|
entity |
| Predicate | basionymAuthorshipFor |
P7386
|
FINISHED |
| Object | phylum Nematoda |
—
|
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: phylum Nematoda | Statement: [Rudolphi, 1808, basionymAuthorshipFor, phylum Nematoda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basionymAuthorshipFor Context triple: [Rudolphi, 1808, basionymAuthorshipFor, phylum Nematoda]
-
A.
taxonomicAuthority
chosen
Indicates the entity that formally described, named, or classified another entity in a taxonomic context.
-
B.
binomialName
Indicates the formal scientific name assigned to a species, typically composed of its genus and specific epithet.
-
C.
namingBasis
Indicates that one entity serves as the reason, source, or criterion for how another entity is named or designated.
-
D.
speciesEponym
Indicates that a species is named in honor of a particular person or entity.
-
E.
taxonOf
Indicates that one entity is the taxonomic group (taxon) to which the other entity belongs.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7574c408190893e70bf80514838 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.