Triple
T3872240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolphi, 1808 |
E92412
|
entity |
| Predicate | typeOfTaxonomicAct |
P52062
|
FINISHED |
| Object | originalDescription |
—
|
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: originalDescription | Statement: [Rudolphi, 1808, typeOfTaxonomicAct, originalDescription]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTaxonomicAct Context triple: [Rudolphi, 1808, typeOfTaxonomicAct, originalDescription]
-
A.
taxonomicStatus
Indicates the formal classification status of a taxon within a taxonomic system, such as whether it is accepted, synonymized, provisional, or invalid.
-
B.
usedTaxonomicSystem
Indicates that a particular taxonomic classification system was applied or followed when organizing or identifying the entities involved.
-
C.
taxonOf
Indicates that one entity is the taxonomic group (taxon) to which the other entity belongs.
-
D.
affectsTaxon
Indicates that one entity has an impact or influence on a particular taxon or group of organisms.
-
E.
taxonGroup
Indicates a classification relationship where one taxon is grouped within or associated with a broader taxonomic group.
- 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_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. |
| PDg | Predicate description generation | batch_69aef14f9bb4819098e64b527b546d74 |
completed | March 9, 2026, 4:11 p.m. |
Created at: March 9, 2026, 3:20 p.m.